09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware; computer
hardware and software for information technology analysis
and data management; computer hardware and software for
application development; computer hardware and software for
cloud computing; computer hardware and software for
cognitive computing; computer hardware and software for
artificial intelligence; computer hardware and software for
blockchain technology; computer hardware and software for
quantum computing and quantum programming; computer hardware
and computer software for developing and testing quantum
algorithms; hardware and software for explainable artificial
intelligence (XAI); magnetic tape units (data processing);
magnetic tapes; printed circuits; integrated circuits;
couplers (data processing); scanners (data processing
equipment); computer printers; computer software (recorded
programs) intended for data processing; microprocessors;
processors [central processing units], central processing
units [processors]; modems; monitors [computer hardware];
computer memories; computer peripheral devices; computer
adapters; computer components; data processing equipment;
data processing equipment for data and information
management; semiconductors; machine-readable electronic data
media; hard disk drives for computers; tape recorders;
electric batteries; chips [integrated circuits]; boards for
integrated circuits; computer accessories, namely, computer
communication servers; computer carrying cases; interfaces
for computers; computer cables and computer cable parts;
computer accessories, namely, screen filters, computer mouse
pads, pagers, joysticks for computers; integrated circuit
cards [smart cards] / smart cards [integrated circuit
cards]; adapters for integrated circuits and adapters for
smart cards; readers for integrated circuit cards and smart
cards; microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale [POS] terminals; computer servers;
computer storage devices, namely high-speed storage
subsystems for storage and backup of electronic data either
locally or via a telecommunication network; downloadable
computer programs; recorded computer programs; recorded or
downloadable computer software platforms; downloadable
computer software applications; video game software;
operating system software and programs; software for
accessing a global computer network; document management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; intercommunication apparatus; computer
programs for linking computers together and for enabling
computer activities across a global computer network;
computer software for managing systems, software and
processes that exist within an information technology
environment; interactive computer systems combining hardware
and software for use in managing and analyzing data and
instruction manuals in electronic format sold with such
products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable
cloud-computing software for deploying and managing virtual
machines to a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; computer software for developing,
building and operating blockchain technology applications;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Building construction; building construction supervision;
construction consultancy; computer hardware repair and
installation services; installation, maintenance and repair
of computer hardware; office apparatus installation,
maintenance and repair. Computer programming; Software as a Service (SaaS) services
featuring software for data management; Software as a
Service (SaaS) services featuring software for cloud
computing; Software as a Service (SaaS) services providing
software platforms and software applications for artificial
intelligence; Software as a Service (SaaS) services
featuring software for cognitive computing; Software as a
Service (SaaS) services featuring software for blockchain
technology; Software as a Service (SaaS) services featuring
software for quantum computing and quantum programming;
Software as a Service (SaaS) services featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; Software as a Service (SaaS) services
featuring software for developing and testing quantum
algorithms; Software as a Service (SaaS) services featuring
software for artificial intelligence (XAI); computer
programming and computer software consulting services for
artificial intelligence; computer programming and computer
software consulting services for cognitive computing;
computer programming and computer software advisory services
for information management; computer programming and
computer software consulting services for data management;
computer programming and computer software consulting
services for cloud computing; computer programming and
computer software consulting services for blockchain
technology; computer programming and computer software
consulting services for quantum computing; computer
programming and computer software consulting services for
Software as a Service (SaaS); computer programming and
computer software advisory services for artificial
intelligence (XAI); design, installation, updating and
maintenance of software; design of computer hardware and
software for third parties, and consultancy services in the
field of computer hardware and software design; technical
support services, namely, troubleshooting of computer
program and software problems; computer services, namely,
design, creation and maintenance of websites for third
parties; analysis of computer systems, integration of
computer networks and databases, computer programming for
third parties, all intended for commercial interactions on
global computer networks; design of systems for
interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer program (software) and computer hardware
testing and monitoring services; technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; research and development
of new products; biological research; bacteriological
research; chemical research; cosmetic research; mechanical
research; geological research; technological research;
pharmaceutical research; scientific research for medical
purposes; research in the field of artificial intelligence
technology; information technology [IT] consultancy;
computer system integration services; consulting services in
the field of design, selection, implementation and use of
computer hardware and software systems for third parties;
computer system design services for third parties; design of
computer systems for interconnecting computer hardware and
software, namely, electronic interconnection of computers
and software; cloud computing services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems
through cloud computing; design and development of software
for cloud storage of data; design and development of
computers; electronic data storage and data recovery
services; consultation services with respect to data
security; design and development of electronic data security
systems; technical support relating to cloud computing by
programmers; design of computer hardware for computer
networks; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; design of chips [integrated circuits]; design of
computer-simulated models; computer code writing; computer
virus protection services.
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware; computer
hardware and software for information technology analysis
and data management; computer hardware and software for
application development; computer hardware and software for
cloud computing; computer hardware and software for
cognitive computing; computer hardware and software for
artificial intelligence; computer hardware and software for
blockchain technology; computer hardware and software for
quantum computing and quantum programming; computer hardware
and computer software for developing and testing quantum
algorithms; hardware and software for explainable artificial
intelligence (XAI); magnetic tape units (data processing);
magnetic tapes; printed circuits; integrated circuits;
couplers (data processing); scanners (data processing
equipment); computer printers; computer software (recorded
programs) intended for data processing; microprocessors;
processors [central processing units], central processing
units [processors]; modems; monitors [computer hardware];
computer memories; computer peripheral devices; computer
adapters; computer components; data processing equipment;
data processing equipment for data and information
management; semiconductors; machine-readable electronic data
media; hard disk drives for computers; tape recorders;
electric batteries; chips [integrated circuits]; boards for
integrated circuits; computer accessories, namely, computer
communication servers; computer carrying cases; interfaces
for computers; computer cables and computer cable parts;
computer accessories, namely, screen filters, computer mouse
pads, pagers, joysticks for computers; integrated circuit
cards [smart cards] / smart cards [integrated circuit
cards]; adapters for integrated circuits and adapters for
smart cards; readers for integrated circuit cards and smart
cards; microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale [POS] terminals; computer servers;
computer storage devices, namely high-speed storage
subsystems for storage and backup of electronic data either
locally or via a telecommunication network; downloadable
computer programs; recorded computer programs; recorded or
downloadable computer software platforms; downloadable
computer software applications; video game software;
operating system software and programs; software for
accessing a global computer network; document management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; intercommunication apparatus; computer
programs for linking computers together and for enabling
computer activities across a global computer network;
computer software for managing systems, software and
processes that exist within an information technology
environment; interactive computer systems combining hardware
and software for use in managing and analyzing data and
instruction manuals in electronic format sold with such
products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable
cloud-computing software for deploying and managing virtual
machines to a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; computer software for developing,
building and operating blockchain technology applications;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Building construction; building construction supervision;
construction consultancy; computer hardware repair and
installation services; installation, maintenance and repair
of computer hardware; office apparatus installation,
maintenance and repair. Computer programming; Software as a Service (SaaS) services
featuring software for data management; Software as a
Service (SaaS) services featuring software for cloud
computing; Software as a Service (SaaS) services providing
software platforms and software applications for artificial
intelligence; Software as a Service (SaaS) services
featuring software for cognitive computing; Software as a
Service (SaaS) services featuring software for blockchain
technology; Software as a Service (SaaS) services featuring
software for quantum computing and quantum programming;
Software as a Service (SaaS) services featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; Software as a Service (SaaS) services
featuring software for developing and testing quantum
algorithms; Software as a Service (SaaS) services featuring
software for artificial intelligence (XAI); computer
programming and computer software consulting services for
artificial intelligence; computer programming and computer
software consulting services for cognitive computing;
computer programming and computer software advisory services
for information management; computer programming and
computer software consulting services for data management;
computer programming and computer software consulting
services for cloud computing; computer programming and
computer software consulting services for blockchain
technology; computer programming and computer software
consulting services for quantum computing; computer
programming and computer software consulting services for
Software as a Service (SaaS); computer programming and
computer software advisory services for artificial
intelligence (XAI); design, installation, updating and
maintenance of software; design of computer hardware and
software for third parties, and consultancy services in the
field of computer hardware and software design; technical
support services, namely, troubleshooting of computer
program and software problems; computer services, namely,
design, creation and maintenance of websites for third
parties; analysis of computer systems, integration of
computer networks and databases, computer programming for
third parties, all intended for commercial interactions on
global computer networks; design of systems for
interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer program (software) and computer hardware
testing and monitoring services; technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; research and development
of new products; biological research; bacteriological
research; chemical research; cosmetic research; mechanical
research; geological research; technological research;
pharmaceutical research; scientific research for medical
purposes; research in the field of artificial intelligence
technology; information technology [IT] consultancy;
computer system integration services; consulting services in
the field of design, selection, implementation and use of
computer hardware and software systems for third parties;
computer system design services for third parties; design of
computer systems for interconnecting computer hardware and
software, namely, electronic interconnection of computers
and software; cloud computing services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems
through cloud computing; design and development of software
for cloud storage of data; design and development of
computers; electronic data storage and data recovery
services; consultation services with respect to data
security; design and development of electronic data security
systems; technical support relating to cloud computing by
programmers; design of computer hardware for computer
networks; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; design of chips [integrated circuits]; design of
computer-simulated models; computer code writing; computer
virus protection services.
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware; computer
hardware and software for information technology analysis
and data management; computer hardware and software for
application development; computer hardware and software for
cloud computing; computer hardware and software for
cognitive computing; computer hardware and software for
artificial intelligence; computer hardware and software for
blockchain technology; computer hardware and software for
quantum computing and quantum programming; computer hardware
and computer software for developing and testing quantum
algorithms; hardware and software for explainable artificial
intelligence (XAI); magnetic tape units (data processing);
magnetic tapes; printed circuits; integrated circuits;
couplers (data processing); scanners (data processing
equipment); computer printers; computer software (recorded
programs) intended for data processing; microprocessors;
processors [central processing units], central processing
units [processors]; modems; monitors [computer hardware];
computer memories; computer peripheral devices; computer
adapters; computer components; data processing equipment;
data processing equipment for data and information
management; semiconductors; machine-readable electronic data
media; hard disk drives for computers; tape recorders;
electric batteries; chips [integrated circuits]; boards for
integrated circuits; computer accessories, namely, computer
communication servers; computer carrying cases; interfaces
for computers; computer cables and computer cable parts;
computer accessories, namely, screen filters, computer mouse
pads, pagers, joysticks for computers; integrated circuit
cards [smart cards] / smart cards [integrated circuit
cards]; adapters for integrated circuits and adapters for
smart cards; readers for integrated circuit cards and smart
cards; microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale [POS] terminals; computer servers;
computer storage devices, namely high-speed storage
subsystems for storage and backup of electronic data either
locally or via a telecommunication network; downloadable
computer programs; recorded computer programs; recorded or
downloadable computer software platforms; downloadable
computer software applications; video game software;
operating system software and programs; software for
accessing a global computer network; document management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; intercommunication apparatus; computer
programs for linking computers together and for enabling
computer activities across a global computer network;
computer software for managing systems, software and
processes that exist within an information technology
environment; interactive computer systems combining hardware
and software for use in managing and analyzing data and
instruction manuals in electronic format sold with such
products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable
cloud-computing software for deploying and managing virtual
machines to a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; computer software for developing,
building and operating blockchain technology applications;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Building construction; building construction supervision;
construction consultancy; computer hardware repair and
installation services; installation, maintenance and repair
of computer hardware; office apparatus installation,
maintenance and repair. Computer programming; Software as a Service (SaaS) services
featuring software for data management; Software as a
Service (SaaS) services featuring software for cloud
computing; Software as a Service (SaaS) services providing
software platforms and software applications for artificial
intelligence; Software as a Service (SaaS) services
featuring software for cognitive computing; Software as a
Service (SaaS) services featuring software for blockchain
technology; Software as a Service (SaaS) services featuring
software for quantum computing and quantum programming;
Software as a Service (SaaS) services featuring software for
constructing, analyzing and running quantum programs and
quantum algorithms; Software as a Service (SaaS) services
featuring software for developing and testing quantum
algorithms; Software as a Service (SaaS) services featuring
software for artificial intelligence (XAI); computer
programming and computer software consulting services for
artificial intelligence; computer programming and computer
software consulting services for cognitive computing;
computer programming and computer software advisory services
for information management; computer programming and
computer software consulting services for data management;
computer programming and computer software consulting
services for cloud computing; computer programming and
computer software consulting services for blockchain
technology; computer programming and computer software
consulting services for quantum computing; computer
programming and computer software consulting services for
Software as a Service (SaaS); computer programming and
computer software advisory services for artificial
intelligence (XAI); design, installation, updating and
maintenance of software; design of computer hardware and
software for third parties, and consultancy services in the
field of computer hardware and software design; technical
support services, namely, troubleshooting of computer
program and software problems; computer services, namely,
design, creation and maintenance of websites for third
parties; analysis of computer systems, integration of
computer networks and databases, computer programming for
third parties, all intended for commercial interactions on
global computer networks; design of systems for
interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer program (software) and computer hardware
testing and monitoring services; technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; research and development
of new products; biological research; bacteriological
research; chemical research; cosmetic research; mechanical
research; geological research; technological research;
pharmaceutical research; scientific research for medical
purposes; research in the field of artificial intelligence
technology; information technology [IT] consultancy;
computer system integration services; consulting services in
the field of design, selection, implementation and use of
computer hardware and software systems for third parties;
computer system design services for third parties; design of
computer systems for interconnecting computer hardware and
software, namely, electronic interconnection of computers
and software; cloud computing services for dynamic
provisioning, virtualization and consumption metering of
computer resources; providing virtual computer systems
through cloud computing; design and development of software
for cloud storage of data; design and development of
computers; electronic data storage and data recovery
services; consultation services with respect to data
security; design and development of electronic data security
systems; technical support relating to cloud computing by
programmers; design of computer hardware for computer
networks; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; design of chips [integrated circuits]; design of
computer-simulated models; computer code writing; computer
virus protection services.
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware; computer
hardware and software for information technology analysis
and data management; computer hardware and software for
application development; computer hardware and software for
cloud computing; computer hardware and software for
cognitive computing; computer hardware and software for
artificial intelligence; computer hardware and software for
blockchain technology; computer hardware and software for
quantum computing and quantum programming; computer hardware
and computer software for developing and testing quantum
algorithms; computer hardware and software for explainable
artificial intelligence (XAI); magnetic tape units (data
processing); magnetic tape (ribbon); printed circuits;
integrated circuits; couplers (data processing); scanners
(data processing equipment); computer printers; computer
software (recorded programs) intended for data processing;
microprocessors; processors [central processing units],
central processing units [processors]; modems; monitors
[computer hardware]; computer memories; computer
peripherals; computer adapters; computer components; data
processing equipment; data processing equipment for data and
information management; semiconductors; machine-readable
electronic data media; hard disk drives for computers; tape
recorders; electric cells and electric batteries; chips
[integrated circuits]; boards for integrated circuits;
computer accessories, namely, computer communication
servers; computer carrying cases; interfaces for computers;
computer cables and computer cable parts; computer
accessories, namely, screen filters, computer mouse pads,
pagers, joysticks for computers; integrated circuit cards
[smart cards] / smart cards [integrated circuit cards];
adapters for integrated circuits and adapters for smart
cards; readers for integrated circuit cards and smart cards;
microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale [POS] terminals; computer servers;
computer storage devices, namely high-speed storage
subsystems for storage and backup of electronic data either
locally or via a telecommunication network; downloadable
computer programs; recorded computer programs; recorded or
downloadable computer software platforms; downloadable
computer software applications; video game software;
operating system software and programs; software used for
accessing a global computer network; document management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; intercommunication apparatus; computer
programs for linking computers together and for enabling
computer activities across a global computer network;
computer software for managing systems, software and
processes that exist within an information technology
environment; interactive computer systems combining hardware
and software for use in managing and analyzing data and
instruction manuals in electronic format sold with such
products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable
cloud-computing software for deploying and managing virtual
machines to a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; computer software for developing,
building and operating blockchain technology applications;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Building construction; construction work supervision
[management]; construction consultancy; computer hardware
repair and installation services; installation, maintenance
and repair of computer hardware; office machine and
equipment installation, maintenance and repair. Computer programming; Software as a service (SaaS) Services
providing data management software; software as a service
(SaaS) services providing software for cloud computing;
software as a service (SaaS) services providing software
platforms and software applications for artificial
intelligence; software as a service (SaaS) services
providing software for cognitive computing; software as a
service (SaaS) services providing software for blockchain
technology; software as a service (SaaS) services providing
software for quantum computing and quantum programming;
software as a service (SaaS) services providing software for
constructing, analyzing and running quantum programs and
quantum algorithms; software as a service (SaaS) services
providing software for developing and testing quantum
algorithms; software as a service (SaaS) services providing
software for Explainable artificial intelligence (XAI);
computer programming and computer software consulting
services for artificial intelligence; computer programming
and computer software consulting services for cognitive
computing; computer programming and computer software
consulting services for information management; computer
programming and computer software consulting services for
data management; computer programming and computer software
consulting services for cloud computing; computer
programming and computer software consulting services for
blockchain technology; computer programming and computer
software consulting services for quantum computing; computer
programming and computer software consulting services for
software as a service (SaaS); computer programming and
computer software consulting services for explainable
artificial intelligence (XAI); design, installation,
updating and maintenance of software; designing computer
hardware and software for third parties, and consultancy
services in the field of computer hardware and software
design; technical support services, namely, troubleshooting
of computer program and software problems; computer
services, namely, design, creation and maintenance of
websites for third parties; analysis of computer systems,
integration of computer networks and databases, computer
programming for third parties, all intended for commercial
interactions on global computer networks; design of systems
for interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer program (software) and computer hardware
testing and monitoring services; technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; research and development
of new products; biological research; bacteriological
research; chemical research; cosmetic research; mechanical
research; geological research; technological research;
pharmaceutical research; scientific research for medical
purposes; research in the field of artificial intelligence
technology; information technology consulting; computer
system integration services; consulting services in the
field of design, selection, implementation and use of
computer hardware and software systems for third parties;
computer system design services for third parties; design of
computer systems for interconnecting computer hardware and
software, namely, electronic interconnection of computers
and software; cloud computing services for dynamic
provisioning, virtualization and consumption metering of
computer resources; provision of virtual computer systems by
means of cloud computing; design and development of software
for cloud storage of data; design and development of
computers; electronic data storage and data recovery
services; consultation services with respect to data
security; design and development of electronic data security
systems; technical support relating to cloud computing by
programmers; design of computer hardware for computer
networks; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; designing chips [integrated circuits]; design of
computer simulated models; computer code writing; computer
virus protection services.
09 - Scientific and electric apparatus and instruments
37 - Construction and mining; installation and repair services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; quantum computers; computer hardware; computer
hardware and software for information technology analysis
and data management; computer hardware and software for
application development; computer hardware and software for
cloud computing; computer hardware and software for
cognitive computing; computer hardware and software for
artificial intelligence; computer hardware and software for
blockchain technology; computer hardware and software for
quantum computing and quantum programming; computer hardware
and computer software for developing and testing quantum
algorithms; computer hardware and software for explainable
artificial intelligence (XAI); magnetic tape units (data
processing); magnetic tape (ribbon); printed circuits;
integrated circuits; couplers (data processing); scanners
(data processing equipment); computer printers; computer
software (recorded programs) intended for data processing;
microprocessors; processors [central processing units],
central processing units [processors]; modems; monitors
[computer hardware]; computer memories; computer
peripherals; computer adapters; computer components; data
processing equipment; data processing equipment for data and
information management; semiconductors; machine-readable
electronic data media; hard disk drives for computers; tape
recorders; electric cells and electric batteries; chips
[integrated circuits]; boards for integrated circuits;
computer accessories, namely, computer communication
servers; computer carrying cases; interfaces for computers;
computer cables and computer cable parts; computer
accessories, namely, screen filters, computer mouse pads,
pagers, joysticks for computers; integrated circuit cards
[smart cards] / smart cards [integrated circuit cards];
adapters for integrated circuits and adapters for smart
cards; readers for integrated circuit cards and smart cards;
microcomputers; electrical power supplies; projectors
(projection apparatus); remote controls for computers;
inverters, surge protectors and uninterruptible power
supplies; point-of-sale [POS] terminals; computer servers;
computer storage devices, namely high-speed storage
subsystems for storage and backup of electronic data either
locally or via a telecommunication network; downloadable
computer programs; recorded computer programs; recorded or
downloadable computer software platforms; downloadable
computer software applications; video game software;
operating system software and programs; software used for
accessing a global computer network; document management
software; software used for locating, retrieving and
receiving text, electronic documents, graphics and
audiovisual information on enterprise-wide internal computer
networks and local and wide-area global computer networks;
software used for software development and web authoring and
user manuals in electronic format sold as a unit with these
products; computer software for use in controlling the
operation and execution of computer systems, programs, and
computer networks; computer software for use in connecting
disparate computer networks and systems, computer servers
and storage devices; intercommunication apparatus; computer
programs for linking computers together and for enabling
computer activities across a global computer network;
computer software for managing systems, software and
processes that exist within an information technology
environment; interactive computer systems combining hardware
and software for use in managing and analyzing data and
instruction manuals in electronic format sold with such
products; cloud computing systems, namely networks
integrating computer hardware and software for dynamic
provisioning, virtualization and consumption metering of
computer resources; recorded and downloadable
cloud-computing software for deploying and managing virtual
machines to a cloud computing platform; computer systems,
namely, computer hardware and computer software for
developing and integrating artificial intelligence, namely,
machine learning, deep learning and natural language
processing which are capable of collecting, organizing and
analyzing data; computer systems, namely, computer hardware
and computer software for integrating Natural Language
Processing (NLP), Computational Linguistics (CL),
Information Retrieval (IR) and Machine Learning (ML) which
is capable of understanding general human queries and
formulating responses; computer software for developing,
building and operating blockchain technology applications;
electronic publications, downloadable; electronic
publications on computer media, namely, user manuals, guide
books, brochures, information sheets, written presentations
and teaching materials in the field of computing, computer
networks, computer storage, computer operating systems,
information technology, database management, cloud
computing, artificial intelligence, blockchain technology
and quantum computing. Building construction; construction work supervision
[management]; construction consultancy; computer hardware
repair and installation services; installation, maintenance
and repair of computer hardware; office machine and
equipment installation, maintenance and repair. Computer programming; Software as a service (SaaS) Services
providing data management software; software as a service
(SaaS) services providing software for cloud computing;
software as a service (SaaS) services providing software
platforms and software applications for artificial
intelligence; software as a service (SaaS) services
providing software for cognitive computing; software as a
service (SaaS) services providing software for blockchain
technology; software as a service (SaaS) services providing
software for quantum computing and quantum programming;
software as a service (SaaS) services providing software for
constructing, analyzing and running quantum programs and
quantum algorithms; software as a service (SaaS) services
providing software for developing and testing quantum
algorithms; software as a service (SaaS) services providing
software for Explainable artificial intelligence (XAI);
computer programming and computer software consulting
services for artificial intelligence; computer programming
and computer software consulting services for cognitive
computing; computer programming and computer software
consulting services for information management; computer
programming and computer software consulting services for
data management; computer programming and computer software
consulting services for cloud computing; computer
programming and computer software consulting services for
blockchain technology; computer programming and computer
software consulting services for quantum computing; computer
programming and computer software consulting services for
software as a service (SaaS); computer programming and
computer software consulting services for explainable
artificial intelligence (XAI); design, installation,
updating and maintenance of software; designing computer
hardware and software for third parties, and consultancy
services in the field of computer hardware and software
design; technical support services, namely, troubleshooting
of computer program and software problems; computer
services, namely, design, creation and maintenance of
websites for third parties; analysis of computer systems,
integration of computer networks and databases, computer
programming for third parties, all intended for commercial
interactions on global computer networks; design of systems
for interconnection of computers and software, namely,
electronic connection of computers and software to each
other; computer program (software) and computer hardware
testing and monitoring services; technical project studies
in the field of computer hardware and software; consultancy
services in the field of computer hardware, namely
consultancy regarding computing research and development;
computer advice and assistance concerning Internet use;
rental of computers and software; research and development
of new products; biological research; bacteriological
research; chemical research; cosmetic research; mechanical
research; geological research; technological research;
pharmaceutical research; scientific research for medical
purposes; research in the field of artificial intelligence
technology; information technology consulting; computer
system integration services; consulting services in the
field of design, selection, implementation and use of
computer hardware and software systems for third parties;
computer system design services for third parties; design of
computer systems for interconnecting computer hardware and
software, namely, electronic interconnection of computers
and software; cloud computing services for dynamic
provisioning, virtualization and consumption metering of
computer resources; provision of virtual computer systems by
means of cloud computing; design and development of software
for cloud storage of data; design and development of
computers; electronic data storage and data recovery
services; consultation services with respect to data
security; design and development of electronic data security
systems; technical support relating to cloud computing by
programmers; design of computer hardware for computer
networks; quantum computing; consulting services with
respect to computer and Internet security and data
encryption; designing chips [integrated circuits]; design of
computer simulated models; computer code writing; computer
virus protection services.
6.
METHOD AND SYSTEM FOR AUTONOMOUS VEHICLE TO ACCEPT REMOTE HAND SIGNALS FROM VIRTUAL AUTHORITIES
An approach for allowing autonomous vehicles to follow traffic instructions from a virtual device is provided. The approach includes receiving instructions from virtual devices and identifying the instructions. The approach can further receive data from onboard sensors and determines a path based on the receive data and the instructions. Lastly, the approach can maneuver the vehicles based on the path.
One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to self-reward guided autoregressive sampling for large language models (LLMs). The system can comprise a processor that can execute computer executable components stored in a memory, where the computer executable components can comprise at least one self-reward model. The at least one self-reward model can generate a score for a sentence generated by an LLM, where the score can be based on one or more tokens comprised in the sentence and an attribute associated with the at least one self-reward model. The at least one self-reward model can further alter a text generation process employed by the LLM to generate the sentence, such that respective sampling probabilities of respective tokens comprised in a vocabulary employed by the LLM to generate a new token can be updated by the LLM based on the score.
Computer-implemented methods for providing on-site alerts of critical errors in a data center environment are provided. Aspects include detecting an error by a monitoring device of a computing equipment in the data center environment and transmitting, by the monitoring device, an alert corresponding to the error to a local communication device. Aspects also include determining, by the local communication device, a severity of the error based on a set of alert preferences and based on a determination that the severity of the error is critical, transmitting, by the local communication device, the alert to an on-premises alert notification device.
H04L 41/0604 - Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
H04L 41/069 - Management of faults, events, alarms or notifications using logs of notificationsPost-processing of notifications
A computer-implemented method, according to one approach, includes: in response to a system detecting an initial microcode load, determining whether memory in the system was disarmed during manufacture. The memory in the system is connected to backup power modules. The computer-implemented method also includes monitoring for concurrent code loads in response to determining that the memory was disarmed during manufacture. Moreover, in response to detecting a concurrent code load, the energy levels of the backup power modules are tested. A warning is further issued in response to determining the energy levels of one or more of the backup power modules are outside a predetermined range. Other systems, computer-implemented methods, and computer program products are described in additional approaches.
A semiconductor device is provided that includes an antifuse structure that includes antifuse vias connected to a backside power distribution network and a frontside back-end-of-the-line (BEOL) structure.
H01L 23/525 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body with adaptable interconnections
H01L 23/528 - Layout of the interconnection structure
A semiconductor device is provided that includes a backside metal-insulator-metal (MIM) capacitor including a first (i.e., upper) metal layer, a capacitor dielectric layer, and a second (i.e., lower) metal layer. The semiconductor device further includes a frontside source/drain contact structure as a top electrode, and the second metal layer as a bottom electrode. The top electrode can contact the backside MIM capacitor through a source/drain region of at least one transistor, or the top electrode can directly contact the backside MIM capacitor.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 21/8238 - Complementary field-effect transistors, e.g. CMOS
H01L 23/528 - Layout of the interconnection structure
H01L 27/06 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including a plurality of individual components in a non-repetitive configuration
12.
STACKED TRANSISTORS WITH VERTICALLY STAGGERED CONTACT VIAS
The present disclosure provides a semiconductor structure, a system, and a method of forming a stacked transistor structure with vertically staggered contact vias. The semiconductor structure may include a first stacked transistor cell including a first backside contact having a first contact thickness. The semiconductor structure may also include a second stacked transistor cell including a second backside contact having a second contact thickness different from the first contact thickness. The system may include a semiconductor structure. The method may include forming a first bottom epi and a second bottom epi, filling a first opening in the first stacked transistor cell with one or more metal materials, recessing the one or more metal materials, and filling a second opening in the second stacked transistor cell with the one or more metal materials.
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 21/822 - Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate with subsequent division of the substrate into plural individual devices to produce devices, e.g. integrated circuits, each consisting of a plurality of components the substrate being a semiconductor, using silicon technology
H01L 21/8238 - Complementary field-effect transistors, e.g. CMOS
H01L 23/528 - Layout of the interconnection structure
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
A structural drive assembly is provided. The structural drive assemble includes a storage device and a carrier. The storage device has a first mounting feature on one side of the storage device and a second mounting feature on another side of the storage device. The carrier includes a top portion and a bottom portion. The top portion attaches to one side of the storage device using the first mounting feature. The bottom portion attaches to the other side of the storage device using the second mounting feature.
A controller maps a plurality of client-side traffic ports to a plurality of line-side optical ports of a wavelength division multiplexing system, that are operatively coupled to at least one optical long haul link. The controller determines idle traffic overhead associated with at least one mapped client-side traffic port of the plurality of client-side traffic ports. The controller determines that there is underutilized bandwidth capacity in at least a first line-side optical port in the plurality of mapped line-side ports that would reduce a need for use of at least a second line-side optical port. The controller logically remaps at least one client-side traffic port from the second line-side port to the underutilized first line-side optical port in response to determining that there is underutilized bandwidth capacity of the first line-side optical port.
A computer-implemented method for trace-driven call-graph-aware proactive coordinated autoscaling of component microservices in an application includes generating performance-resource elasticity models of endpoints of the component microservices of the application. Workload levels of the endpoint of the component microservices is predicted based on user traffic observed at a front end service. A trace-level performance of the application is predicted for different microservice replica scaling based on the performance-resource elasticity models at end points, the ends points on the trace call graph and the predicted workload levels. A microservice replica scaling is recommended for each of the component microservices to meet predefined trace-level user service level objectives.
Embodiments of the present disclosure include a semiconductor structure having a transistor including epitaxial regions and a gate structure at a frontside, a gate extension being connected at the frontside to the gate structure and extending to a backside, the frontside being opposite the backside. A backside gate contact is connected at the backside to the gate extension. A source/drain via is coupled to one of the epitaxial regions, the source/drain via extending through the gate structure from the frontside to the backside, the gate extension extending further in the backside than the source/drain via.
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 21/8238 - Complementary field-effect transistors, e.g. CMOS
H01L 23/528 - Layout of the interconnection structure
H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
17.
MACHINE LEARNING (ML) MODEL GOVERNANCE VIA PLACEBO DATA INJECTION VALIDATION
Aspects of the present disclosure relate to machine learning (ML) model governance. A first ML output can be received from a first version of a ML model based on a first prompt. The first version of the ML model can be trained on placebo data to obtain a second version of the ML model. A second ML output can be received from the second version of the ML model trained on the placebo data based on the first prompt. A validation result can be received based on a comparison between the first ML output and the second ML output.
A method for performing machine learning decision-tree based inferences includes generating multiple CPU threads on an inference function server and determining if an inference request which requires a tree traversal operation has been received. If an inference request which requires the tree traversal operation has been received, then immediately executing the tree traversal operation. If an inference request which requires the tree traversal operation has not been received, then determining if a stop thread request has been received, wherein if a stop thread request has been received, then stopping the CPU thread.
In an approach for creating educational case study content based on crowdsourced media content, a processor receives a request for a video to be used with a case study and determines one or more requirements for the video. Based on the one or more requirements, the processor retrieves a plurality of crowdsourced videos from a social media network and determines at least one set of the plurality of crowdsourced videos that can form a closed loop contour. The processor further, based on the at least one set of the plurality of crowdsourced videos, creates the video to be used with the case study.
A computer-implemented method, according to one approach, includes: determining a number of processes and threads for each of a plurality of programs currently running on a closed system. For each of the programs in the plurality of programs, a determination is made as to whether the respective number of processes and threads are in a first predetermined range. Moreover, for each of the programs determined as having a respective number of processes and threads that are in the first predetermined range, CPU usage associated with the respective programs is determined. A security alert is issued in response to determining that at least one of the programs include: a respective number of processes and threads that are outside the first predetermined range, and a combined CPU usage that is outside a second predetermined range.
According a present invention embodiment, a system for searching conversations for desired content monitors one or more conversations and identifies changes in topics in the one or more conversations based on inquiries from one or more users. The topics pertain to business concepts. The one or more conversations are partitioned into segments based on the identified changes in topics. The segments are assigned to the topics based on the segments containing content for the topics. A query including a topic is processed, and the segments of the one or more conversations pertaining to the topic of the query are retrieved based on the assignment of the segments to the topics. Embodiments of the present invention further include a method and computer program product for searching conversations for desired content in substantially the same manner described above.
A computer-implemented method for trace-driven dependency-set-aware proactive coordinated autoscaling of component microservices in an application includes generating performance-resource elasticity models at a trace-level for traces of the application using dependency set of microservices for each trace. The method predicts workload levels of each of the traces, and also predicts a trace-level performance of the application for different microservice replica scaling based on the dependency set of microservices for each trace, performance-resource elasticity models and the predicted workload levels. The method uses distributed computing to recommend a microservice replica scaling for each of the component microservices to meet one or more predefined trace-level user service level objectives.
A nanosheet semiconductor structure including a plurality of channel nanosheets arranged one above another and each surrounded by a gate structure, where a width of each channel region of the plurality of channel nanosheets varies across its length.
The invention relates to a computer-implemented method of organizing utilization of a plurality of resources in a computing environment logically partitioned in layers, the method comprising, by a computer system configured for implementing a first layer: identifying a plurality of consumers of the resources on a second layer subsequent to the first layer; for each of the resources: obtaining from a resource model a prediction of an available quota of the resource based on a configuration of the consumers; logically subdividing the available quota into chunks; for each of the consumers: obtaining a correlation matrix of utilization rates of each resource measured for the consumer; generating a resource package specific to the consumer, the generation comprising selecting, based on the correlation matrix, a number of the chunks obtained for each resource, and adding the selected chunks to the resource package; and allocating the resource package to the consumer.
A method for operating a first computer system is provided. The method includes: building a database comprising entries, each entry indicating a failure in one or more second computer systems and an action pattern to remedy the failure, the action pattern indicating log files to be accessed to remedy the failure. In response to detecting a failure in the first computer system, one or more entries of the database that match the detected failure may be identified. The one or more action patterns associated with the identified one or more entries may be used for extracting debugging data representing the detected failure. At least part of the debugging data may be sent to an external system. In response to the sending, instructions to remedy the detected failure may be received from the external system.
A method and computer system for handling timeouts of client requests to a server. The method includes: accessing timeout metadata of a synchronous client request at a server queue; determining that the synchronous client request has a timeout risk; identifying a response storage location for a request processor to use to store a response to the synchronous client request when the response is provided after the timeout of the synchronous client request; responding to the synchronous client request indicating a user of a response storage location for asynchronous response retrieval; and providing the identifier of the response storage location as metadata in the synchronous client request when sending the synchronous client request to the request processor for processing.
According to the embodiment of the present invention, a semiconductor device comprises a first nanodevice including a plurality of first upper transistors and a plurality of first lower transistors. The first nanodevice includes a first upper source/drain and a first lower source/drain. A shared source/drain contact extends through the first upper source/drain and the first lower source/drain. An isolation interlayer dielectric (ILD) is in direct contact with at least one surface of the shared source/drain contact.
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 21/285 - Deposition of conductive or insulating materials for electrodes from a gas or vapour, e.g. condensation
H01L 21/822 - Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate with subsequent division of the substrate into plural individual devices to produce devices, e.g. integrated circuits, each consisting of a plurality of components the substrate being a semiconductor, using silicon technology
H01L 21/8238 - Complementary field-effect transistors, e.g. CMOS
H01L 23/528 - Layout of the interconnection structure
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
Disclosed herein is a computer implemented method of operating a computing environment to perform a live migration of a running process from a current computing node to an alternative computing node. The current computing node is configured for executing an application binary using a sandboxed runtime environment that comprises an application binary interface. The alternative computing node is configured for executing the application binary using the sandboxed runtime environment that comprises the application binary interface. The application binary interface has a node hardware independent instruction set. The method comprises: monitoring the running process on the current computing node to see if it meets a predetermined transfer criterion; adding the running process to a workload queue if the predetermined transfer criterion is detected; and migrating the running process from the current computing node to the alternative computing node. The migration of the running process comprises a transfer of stateful network connections.
Deposit and cure, on a first heat transfer component, a porous organo-silicate material. Fill connected porosity of the deposited and cured porous organo-silicate material with a thermally conductive material. Bond the porous organo-silicate material having the filled connected porosity to a second heat transfer component.
H01L 21/48 - Manufacture or treatment of parts, e.g. containers, prior to assembly of the devices, using processes not provided for in a single one of the groups or
A device includes a photonics chip and a flexible waveguide having a first end connected to the photonics chip and a second end opposite the first end, in which the second end of the flexible waveguide includes a first portion connected to a ferrule module and a second portion connected to the ferrule module. The second portion is stacked vertically over the first portion in the ferrule module.
A semiconductor device includes a metal line having a longitudinal break therein to provide a first portion and a second portion. A first extended via contacts an end of the first portion at a sidewall of the first extended via. A second extended via is offset from the first extended via and contacts an end of the second portion at a sidewall of the second extended via. The first extended via and the second extended via define a space therebetween, and a zero track skip is disposed within the space.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 23/528 - Layout of the interconnection structure
Methods, systems, and products for system steering for an I/O sustainability target includes tracking, for each adapter of a plurality of adapters included in a system, a power consumption associated with the adapter and an amount of data transferred by the adapter, calculating, based on the tracking, a power to data ratio associated with the plurality of adapters, and routing one or more I/O commands to a lowest power adapter of the plurality of adapters based on comparing the power to data ratio with a power target.
A computer-implemented method and device performing digital post-processing of an in-memory computing crossbar array. The computer-implemented method includes providing a digital computing block positioned at a periphery of the in-memory computing crossbar array. The digital computing block is configured to perform fixed-point computations of an input, compression on the fixed-point computations of the input; and a nonlinear activation function.
G06F 5/01 - Methods or arrangements for data conversion without changing the order or content of the data handled for shifting, e.g. justifying, scaling, normalising
A scheme for managing a quorum device for a storage system having network of storage controllers of storage clusters is provided. The scheme may include designating a first storage controller as a volume-based quorum device for a second storage controller. The first storage controller is aware of being designated and functions as the volume-based quorum device. The scheme may further include taking snapshots of cluster state metadata at known points, saving the snapshots as quorum volumes, and recovering a storage cluster from the cluster state metadata.
G06F 11/14 - Error detection or correction of the data by redundancy in operation, e.g. by using different operation sequences leading to the same result
A computer implemented method manages computing workloads. A processor set monitors thermal data from sensors associated with a set of components in a computer system. The processor set manages computing workloads for the set of components using the thermal data and a policy defining component usage.
Provided are devices and methods relating to a magnetic tape head module, including an apparatus comprising a magnetic tape head module including a module bonding pad region including a first row of module bonding pads and a second row of module bonding pads, the first row of module bonding pads and the second row of module bonding pads configured to accommodate wirebonds thereon.
G11B 5/187 - Structure or manufacture of the surface of the head in physical contact with, or immediately adjacent to, the recording mediumPole piecesGap features
G11B 5/127 - Structure or manufacture of heads, e.g. inductive
37.
DIELECTRIC INNER SPACERS FOR NANOSHEET TRANSISTORS
A semiconductor device comprises a first nanosheet transistor structure, a second nanosheet transistor structure stacked on the first nanosheet transistor structure, and a semiconductor layer disposed between the first nanosheet transistor structure and the second nanosheet transistor structure. A first dielectric spacer is disposed around a first end portion of the semiconductor layer, and a second dielectric spacer disposed around a second end portion of the semiconductor layer. The second end portion of the semiconductor layer is disposed opposite the first end portion.
H01L 27/092 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate complementary MIS field-effect transistors
H01L 21/822 - Manufacture or treatment of devices consisting of a plurality of solid state components or integrated circuits formed in, or on, a common substrate with subsequent division of the substrate into plural individual devices to produce devices, e.g. integrated circuits, each consisting of a plurality of components the substrate being a semiconductor, using silicon technology
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
A method is provided to form a superconducting tunnel junction device. An undercut trench is formed in a substrate surface. A first superconducting metal layer is formed on the substrate surface such that the undercut trench causes a discontinuity in the first superconducting metal layer. An insulating layer is formed on the first superconducting metal layer, and a second superconducting metal layer is formed on the insulating layer. The second superconducting metal layer, the insulating layer, and the first superconducting metal layer are patterned to form a superconducting tunnel junction device on the substrate adjacent to the undercut trench, which comprises first and second electrodes, and a barrier layer disposed therebetween. The first electrode comprises a portion of the first superconducting metal layer at the discontinuity thereof, the barrier layer comprises a portion of the insulating layer, and the second electrode comprises a portion of the second superconducting metal layer.
A semiconductor device includes metal lines disposed in a metal level. A dielectric barrier conforms to a top and sides of the metal lines. A power plane is disposed over the dielectric barrier and in-between the metal lines.
H01L 23/528 - Layout of the interconnection structure
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
40.
META-LEARNING AND DIGITAL TWIN DATA GENERALIZATION FOR AIOPS MODEL
A method, computer system, and a computer program product are provided. A first digital twin that models a first computing application being carried out in a first computing configuration is generated. The first digital twin replicates settings of the first computing configuration. A second digital twin is generated by altering the first digital twin. Respective time series data from the first digital twin, from the second digital twin, and from the first computing configuration are gathered. Drift in the gathered time series data is detected such that that different groups of data are produced. An artificial intelligence for information technology machine learning model (AIOPs model) is trained by implementing meta-learning domain generalization and by using training data divided according to the different groups of data.
According to one embodiment, a method, computer system, and computer program product for predicting and synthesizing audio of an impact depicted in a video is provided. The present invention may include reconstructing physics priors from received audio and video training data; training a generative model for impact sound synthesis using the reconstructed physics priors to guide the generative model in learning a correspondence between video inputs and impact sounds; receiving silent video input to produce a visual latent vector representation, wherein the video input depicts an impact between two or more physical objects; and processing the visual latent vector representation, the reconstructed physics priors, and Gaussian noise through the trained generative model to perform the impact sound synthesis.
A curriculum learning method yields finer spectrum inference by abstracted an original training dataset. The abstracted training dataset is supplemented with interpolated data points, to create an interpolated abstracted dataset for initial or intermediate machine learning. The final spectrum inference by the training machine learning model is a finer spectrum inference than obtained by individual learning.
Mechanisms are provided for caching threat intelligence enhancements in a threat intelligence cache of a threat intelligence computing system. The mechanisms, in response to a threat intelligence enhancement (TIE) being generated based on threat intelligence data, apply one or more threat intelligence cache policies to the TIE to determine a default cache retention period for a TIE type corresponding to the TIE. Different TIE types have different default cache retention periods. The mechanisms process the TIE and corresponding context data in the threat intelligence data to determine an adjustment to the default cache retention period based on the context data. The mechanisms modify the default cache retention period by the determined adjustment to generate a modified cache retention period. The mechanisms store the TIE in a TIE cache in accordance with the modified cache retention period.
G06F 21/78 - Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer to assure secure storage of data
A circuit design process is provided which includes performing noise impact on function testing of an instance of a logic cell within a circuit design, and based on the logic cell instance failing the noise impact on function testing, addressing the failure of the logic cell instance. The addressing includes selecting a noise tolerance data curve of multiple noise tolerance data curves with different associated capacitive loads on the logic cell, and adjusting an effective capacitive load on the logic cell instance to obtain an adjusted capacitive load corresponding to the associated capacitive load of the selected noise tolerance data curve. Further, the addressing includes verifying that the logic cell instance passes noise impact on function testing based on comparing a noise pulse at the logic cell instance to the selected noise tolerance data curve.
Query performances are analyzed by creating clusters of the queries sent to a database by classifying the queries sent to the database based on one or more actions of the queries sent to the database and one or more objects of the queries sent to the database. A computing device compares a performance of queries within the clusters to identify deviating queries that deviate from cluster averages. The computing device computes optimized queries for the deviating queries by replacing the deviating queries with similar queries that meet a similarity metric or query corrections generated to modify the deviating queries.
A semiconductor device is provided that includes a d-fuse structure that includes d-fuse vias located between a backside power distribution network and a frontside back-end-of-the-line (BEOL) structure.
H01L 23/525 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body with adaptable interconnections
H01L 23/528 - Layout of the interconnection structure
47.
ENABLING COMPUTATIONAL STORAGE OPERATIONS THROUGH LEGACY CLIENT STORAGE INTERFACES
Provided are techniques for enabling computational storage operations through legacy client storage interfaces. A front-end storage command for an object is received, where the object comprises a storage unit identifier and data. A storage unit is identified based on the identifier. One or more computational storage operations are identified that are associated with the storage unit and with a type of the front-end storage command. The one or more computational storage operations are converted into one or more back-end storage commands. The front-end storage command and the one or more backend storage commands are executed.
A vertical ferroelectric field effect transistor includes a source, a drain, and a channel in a channel opening vertically connecting the source and the drain. On either side of the channel are an alternating stack of a plurality of insulator layers and a plurality of metal electrodes. A cover insulator is over the alternating stack while the source is over and in contact with a top surface of the cover insulator. A ferroelectric layer is between and in contact with each of the plurality of metal electrodes and a portion of the channel sidewalls.
H10B 51/20 - Ferroelectric RAM [FeRAM] devices comprising ferroelectric memory transistors characterised by the three-dimensional arrangements, e.g. with cells on different height levels
H10B 51/30 - Ferroelectric RAM [FeRAM] devices comprising ferroelectric memory transistors characterised by the memory core region
49.
ELECTRONIC STRUCTURE INCLUDING DIE WITH BACKSIDE POWER DELIVERY
An electronic structure is provided in which the thermal conductance in a semiconductor die including backside back-end-of-the-line (BS-BEOL) structure located on a backside of a front-end-of-the-line (FEOL) level including one or more semiconductor devices, and a frontside back-end-of-the-line (FS-BEOL) structure located on a frontside of the FEOL level is improved by positioning power wires present in the backside BEOL structure in closer proximity to a thermal dissipation structure than signal wires present in the frontside BEOL structure.
H01L 23/367 - Cooling facilitated by shape of device
H01L 23/48 - Arrangements for conducting electric current to or from the solid state body in operation, e.g. leads or terminal arrangements
H01L 23/528 - Layout of the interconnection structure
H01L 25/065 - Assemblies consisting of a plurality of individual semiconductor or other solid-state devices all the devices being of a type provided for in a single subclass of subclasses , , , , or , e.g. assemblies of rectifier diodes the devices not having separate containers the devices being of a type provided for in group
50.
ZERO TRACK SKIP WITH IN-LINE VIA TO METAL LINE CONNECTION
A semiconductor device includes a metal line (227) having a longitudinal break therein to provide a first portion and a second portion. A first extended via contacts an end of the first portion at a sidewall of the first extended via. A second extended via is offset from the first extended via and contacts an end of the second portion at a sidewall of the second extended via. The first extended via and the second extended via define a space therebetween, and a zero track skip (224) is disposed within the space.
A curriculum learning method yields finer spectrum inference by abstracted an original training dataset. The abstracted training dataset is supplemented with interpolated data points, to create an interpolated abstracted dataset for initial or intermediate machine learning. The final spectrum inference by the training machine learning model is a finer spectrum inference than obtained by individual learning.
A method and computer system for handling timeouts of client requests to a server. The method includes: accessing timeout metadata of a synchronous client request at a server queue; determining that the synchronous client request has a timeout risk; identifying a response storage location for a request processor to use to store a response to the synchronous client request when the response is provided after the timeout of the synchronous client request; responding to the synchronous client request indicating a user of a response storage location for asynchronous response retrieval; and providing the identifier of the response storage location as metadata in the synchronous client request when sending the synchronous client request to the request processor for processing.
A computer-implemented method for trace-driven call-graph-aware proactive coordinated autoscaling of component microservices in an application includes generating performance-resource elasticity models of endpoints of the component microservices of the application. Workload levels of the endpoint of the component microservices is predicted based on user traffic observed at a front end service. A trace-level performance of the application is predicted for different microservice replica scaling based on the performance-resource elasticity models at end points, the ends points on the trace call graph and the predicted workload levels. A microservice replica scaling is recommended for each of the component microservices to meet predefined trace-level user service level objectives.
Systems, methods, and computer program products for obfuscating search queries are described herein. A method comprises reading an input query; reading a set of known terms organized into hierarchical classes; determining whether the input query is included in the set of known terms; determining one or more classifications for the input query in accordance with its inclusion in the set of known terms; generating a prompt in accordance with the one or more classifications and the input query; providing the prompt to a generative language model as input; receiving, from the generative language model, a plurality of candidate queries in accordance with the prompt; determining a score for the plurality of candidate queries; and generating a plurality of decoy queries based on the plurality of candidate queries and the score.
A computer-implemented method, system, and computer program product for testing hardware in an environment involving a checkstop. Errors are injected into a model of a design under test (DUT), which includes a first hardware component interfaced with a second hardware component, at various states causing an occurrence of a checkstop in the first hardware component. A simulation of the model of the DUT is then performed with the injected errors for a number of cycles after the checkstop based on a quiesce time where the injected errors are suppressed. Furthermore, a post-processing script is executed to test a model of the DUT which ignores the errors of the first hardware component that were identified after the checkstop in the simulation of the model of the DUT. Any non-ignored errors from the execution of the post-processing script are detected and analyzed to determine if the second hardware component failed the test.
Provided are a tape drive cleaning device, tape drive library deploying a tape drive cleaning device, and method for using a tape drive cleaning device. The tape drive cleaning device is used to clean a tape drive having a tape drive loader tray in which a tape cartridge is inserted. The tape drive cleaning device includes a body and a material attached to the body. Dimensions of the body with the material are configured to fit into the tape drive loader tray to have the material engage a tray inner surfaces of the tape drive loader tray. The material is configured to collect debris on the tray inner surfaces when engaged with the tray inner surface.
Embodiments include processing commands on multiprocessor chip having a plurality of nodes that are interconnected via a clockwise ring network and a counterclockwise ring network. Aspects include receiving, by a first ring station associated with a first node of the plurality of nodes, the command for execution and transmitting, by the first ring station via one or more of the clockwise ring network and the counterclockwise ring network, the command for execution. Aspects also include receiving, by a second ring station associated with a second node of the plurality of nodes, the command for execution, wherein the second ring station is connected to a third ring station associated with a third node of the plurality of nodes via a first cross bar of the one or more cross bars and transmitting, by the second ring station to the third ring station via the first cross bar, the command for execution.
G06F 15/80 - Architectures of general purpose stored program computers comprising an array of processing units with common control, e.g. single instruction multiple data processors
A computer-implemented method for receiving evaluation criteria comprising rules for evaluating changes to a data file, where the data file comprises a plurality of assets. The method may further include detecting at least one change to one or more assets of the plurality of assets and identifying a category for the at least one change, based on the received evaluation criteria. In response to identifying a category for a plurality of changes, the method may aggregate the identified category of each of the plurality of changes of each asset of the data file. In response to the aggregated categories exceeding one or more predetermined thresholds, the method may further include generating a new semantic version for each changed asset of the plurality of assets and a new semantic version for the data file overall. The method may also push the new semantic version to at least one client computer.
Aspects include processing the query from a client device to divide the query into a plurality of subqueries, identifying a data source that corresponds to each of the plurality of subqueries, and identifying an expected response time for each of the data sources. Based on a determination that at least one of the expected response times is greater than a default timeout threshold, aspects include classifying the query as a delayed split query and updating a timeout value of the query to be a delayed timeout threshold, which is greater than the default timeout threshold. Aspects also include performing the delayed split execution of the query.
A semiconductor device includes front end of line (FEOL) devices arranged in a FEOL layer defining a frontside and a backside opposite the frontside. A single composition dielectric material covers the FEOL devices and is disposed in shallow trench isolation regions between the FEOL devices. The dielectric material has voids disposed therein that provide airgaps between the FEOL devices.
A top-down inspection system and method employs a strategy using specific geometric shaped metal alignment markers on a semiconductor die and a laminate that can be inspected using an IR camera. The metal alignment markers will align at room temperature to assess the die alignment prior to reflowing it. As silicon is transparent to IR wavelengths the system allows for the IR light to pass through the die to the laminate to see alignment features on the die and the laminate concurrently. The specific markers are placed in at least two separate locations preferably >0.5*die size apart. The robust alignment markers are substantially resistant to degradation caused by semiconductor device fabrication steps. The metal alignment markers can be small geometrical shapes to provide a more symmetrical signal which is more resistant to variability in prior processing steps than the standard marker design.
H01L 21/67 - Apparatus specially adapted for handling semiconductor or electric solid state devices during manufacture or treatment thereofApparatus specially adapted for handling wafers during manufacture or treatment of semiconductor or electric solid state devices or components
B23K 1/00 - Soldering, e.g. brazing, or unsoldering
Embodiments of present invention provide a semiconductor structure. The semiconductor structure includes a first area having a back-end-of-line (BEOL) region that includes a first set of vias; a metal level with one metal line above the first set of vias; and a second set of vias above the metal level; and a second area having a metal stub, where a bottom surface of the metal stub is substantially aligned with a bottom surface of the first set of vias and a top surface of the metal stub is substantially aligned with either a top surface of the one metal line of the metal level or a top surface of the second set of vias, and where the metal stub has a horizontal width that is at least 10 times larger than a width of the one metal line. A method of forming the semiconductor structure is also provided.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
H01L 23/48 - Arrangements for conducting electric current to or from the solid state body in operation, e.g. leads or terminal arrangements
H01L 23/528 - Layout of the interconnection structure
H01L 27/088 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate
63.
MANAGING CONTAINERS USING DATA STRUCTURE FOR FIXING SECURITY VULNERABILITIES AND EXPOSURES
A computer-implemented method for managing containers. A processor set retrieves a container image from a container repository. The container image is retrieved by a host comprising a copy of the container image. The processor set updates the copy of the container image on the host based on filesystems in the container image retrieved from the container repository and metadata for the application packages associated with the container image retrieved from the container repository. The processor set creates a data structure comprising information for fixing security vulnerabilities and exposures for containers based on the metadata for the application packages, information associated with the application packages, and information associated with containers for the container image on the host.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/54 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by adding security routines or objects to programs
64.
INTELLIGENT SETTINGS OF ONBOARD SENSORS ON A VEHICLE
An embodiment includes detecting a future terrain metric by a vehicle. The embodiment includes responsive to detecting the future terrain metric, computing a sensor adjustment metric based on a current terrain metric and the future terrain metric. The embodiment also includes adjusting an onboard sensor of the vehicle based on the sensor adjustment metric.
Described are techniques for identifying primary and foreign keys to build a schema. A primary key of a query table of a data lakehouse, which may consist of multiple columns, is identified. The top n-similar columns of the tables of the data lakehouse are then identified to identify the joinable tables using the primary key as a query using column embeddings. A list of candidate joinable tables is then identified based on the identified top n-similar columns of tables of the data lakehouse. Joinable tables from the list of candidate joinable tables are selected that satisfy an inclusion dependency constraint. The foreign keys having full containment with the primary key of the query table are then identified from the selected joinable tables. Such identified primary and foreign keys are utilized to build/discover the schema, such as a relational schema, of the data lakehouse.
Embodiments herein describe circuitry and techniques to implement shunt current control of an on-chip voltage regulator of a memory storage system using hardware components and computer software tools. Disclosed embodiments provide an on-chip voltage regulator with enhanced performance, reducing power requirements, and minimizing noise and voltage fluctuations of the regulator output, based on a cache activity signal produced by a cache controller.
G06F 1/26 - Power supply means, e.g. regulation thereof
H02M 3/156 - Conversion of DC power input into DC power output without intermediate conversion into AC by static converters using discharge tubes with control electrode or semiconductor devices with control electrode using devices of a triode or transistor type requiring continuous application of a control signal using semiconductor devices only with automatic control of output voltage or current, e.g. switching regulators
A method of method of fabricating a semiconductor device includes providing a semiconductor structure having a sheet of vertically stacked formations including alternating semiconductor layers and sacrificial layers, surrounded by a layer of dummy gate material. The sacrificial layers are removed from the sheet leaving empty channels between the semiconductor layers. A gate oxide is deposited in the empty channels. The gate oxide wraps around the semiconductor layers in the sheet and defines layers of gate oxide. The layers of gate oxide are etched inward from a space between the vertically stacked formations, forming pockets between the layers of semiconductor. A dielectric spacer is deposited into the pockets. A source and drain formation is deposited into the space between the vertically stacked formations. The layer of dummy gate material is removed. The layers of gate oxide are removed. A gate is formed in contact with the semiconductor layers.
H01L 29/08 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions with semiconductor regions connected to an electrode carrying current to be rectified, amplified, or switched and such electrode being part of a semiconductor device which comprises three or more electrodes
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
A structure for extracting thermal resistance in semiconductor device includes first and second sensor arrays. Each sensor array of the first and second sensor arrays includes a heater; a first temperature sensor configured to measure temperature of the heater; and second and third temperature sensors on opposite sides of the heater. The heater and the temperature sensors of the first sensor array are along a first thermal path to ambient. The heater and the temperature sensors of the second sensor array are along a second thermal path to ambient. The first thermal path to ambient has a measurably different thermal resistance than the second thermal path to ambient.
A semiconductor integrated circuit (IC) device includes a bottom wire level, a top wire level, a first region with a first vertical dimension between the bottom wire level and the top wire level, and a second region with a second vertical dimension between the bottom wire level and the top wire level that is less than the first vertical dimension. The discrepancy in the vertical dimensions between wiring levels in different regions of the semiconductor IC device may provide desired or optimized capacitance and/or resistance metrics therein and may increase overall semiconductor integrated circuit (IC) device performance.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
70.
MULTIPLE CHIP MODULE WITH INTEGRATED MICROCHANNEL COOLING
An electronic module is provided that includes a microchannel cooler having a glass manifold contacting a first side of a microchannel chip, a plurality of functional semiconductor chips located face up on a second side of the microchannel chip. Each semiconductor chip of the plurality of functional semiconductor chips is coefficient of thermal expansion (CTE) matched, and a first redistribution layer (RDL) containing structure or organic interposer is located above and in electrical contact with the plurality of functional semiconductor chips. In either case, the first RDL containing structure and the organic imposer are not CTE matched to the functional semiconductor chips.
H01L 25/065 - Assemblies consisting of a plurality of individual semiconductor or other solid-state devices all the devices being of a type provided for in a single subclass of subclasses , , , , or , e.g. assemblies of rectifier diodes the devices not having separate containers the devices being of a type provided for in group
H01L 23/00 - Details of semiconductor or other solid state devices
H01L 23/31 - Encapsulation, e.g. encapsulating layers, coatings characterised by the arrangement
H01L 23/373 - Cooling facilitated by selection of materials for the device
H01L 23/46 - Arrangements for cooling, heating, ventilating or temperature compensation involving the transfer of heat by flowing fluids
H01L 23/538 - Arrangements for conducting electric current within the device in operation from one component to another the interconnection structure between a plurality of semiconductor chips being formed on, or in, insulating substrates
71.
FLUORINATED GAS ABATEMENT AND FLUORIDE SEQUESTRATION USING SILICON
A process includes providing a reactor containing a compound of the formula SiOx, wherein 0≤x≤2, and receiving, at the reactor, fluorinated gas. The process also includes obtaining a gaseous mixture formed at an elevated temperature in the reactor and removing silicon tetrafluoride from the gaseous mixture. An apparatus includes a reactor containing a compound of the formula SiOx, wherein 0≤x≤2, a component for receiving fluorinated gas at the reactor, a heating element for heating the compound of the formula SiOx and the fluorinated gas in the reactor, and a separation component for removing silicon tetrafluoride from a gaseous mixture formed in the reactor. A process of semiconductor manufacturing includes defluorinating exhaust gas using the process. A system for semiconductor manufacturing includes a set of components for carrying out the process.
C01B 33/027 - Preparation by decomposition or reduction of gaseous or vaporised silicon compounds other than silica or silica-containing material
H01L 21/67 - Apparatus specially adapted for handling semiconductor or electric solid state devices during manufacture or treatment thereofApparatus specially adapted for handling wafers during manufacture or treatment of semiconductor or electric solid state devices or components
Access to log event data and corresponding source code is obtained and static code analysis is performed on the source code to produce analysis output. First vectors representing the log event data and second vectors representing the analysis output are generated. A similarity analysis is performed on the first vectors and the second vectors. A probabilistic relevance score associating a given log event with a segment of the source code is determined based on the similarity analysis. A visualization is generated for log events based on the probabilistic relevance score.
Embodiments are disclosed for a semiconductor structure. The semiconductor structure includes a non-volatile memory unit cell. The non-volatile memory unit cell includes a top electrode in contact with a bit line. Additionally, the non-volatile memory unit cell includes a bottom electrode in contact with a select line. Further, the non-volatile memory unit cell includes a thin film electrode in contact with the bottom electrode. Additionally, the non-volatile memory unit cell includes a dielectric in contact with the top electrode and the thin film electrode. Further, the non-volatile memory unit cell includes a layer of phase change material including memristive channels. Additionally, the layer of phase change material is in contact with the dielectric. Further, the memristive channels are in contact with the top electrode, the thin film electrode, and the dielectric.
A computational device determines whether a generated system event in the computational device is a critical error or a non-critical error. In response to determining that the generated system event is a critical error caused by a first field-replaceable unit (FRU), the critical error is processed to initiate tasks that lead to replacement of the first FRU in the computational device to eliminate the critical error. In response to determining that the generated system event is a non-critical error caused by a second FRU, operations are performed to proactively reserve a substitute FRU to replace the second FRU to eliminate the non-critical error, in anticipation of the second FRU failing at a future time to cause another critical error.
G06F 11/20 - Error detection or correction of the data by redundancy in hardware using active fault-masking, e.g. by switching out faulty elements or by switching in spare elements
Method and apparatus for providing users role-based system log entry access are described. This can be implemented using a data controller that can read and implement a policy that determines what portion of the total system log certain users (or user groups) are permitted to access. In turn, it may curate a redacted system log and present it to the user that sent the request for the system log. The data controller may act as an intermediate layer between a user wishing to view a system log, the system log itself.
Predicting porting work effort is provided. A total porting work effort to port a software project from a source platform to a disparate target platform is predicted using a first porting work effort, a second porting work effort, and a third porting work effort. The software project is ported from the source platform to the disparate target platform based on the total porting work effort being less than a defined maximum porting work effort threshold level.
In a module of a tape head having multiple modules, a beam support member of at least one module has an alignment leg portion projecting from a body portion of the beam support member at a position displaced from the ends of the beam support member. The alignment leg of one module is matched with the alignment leg of another module to maximize glue adhesion between the legs and minimize positional drifting of the modules after glue curing in a staggered orientation. In another aspect, the support surface of a beam support member of a tape head module extends beyond the end of the wafer chiplet disposed on the beam support member to fully support the wafer chiplet. In still another aspect, one end of a beam support member of a tape head module is chamfered to facilitate mounting the tilted tape head assembly into a tape drive actuator.
G11B 5/008 - Recording on, or reproducing or erasing from, magnetic tapes or wires
G11B 5/187 - Structure or manufacture of the surface of the head in physical contact with, or immediately adjacent to, the recording mediumPole piecesGap features
G11B 5/39 - Structure or manufacture of flux-sensitive heads using magneto-resistive devices
Techniques for improved computing error analysis are provided. An error log for a computing environment is accessed, and an error analysis window is opened based on the error log, the error analysis window having an initial duration. A set of additional error logs, for the computing environment, within the error analysis window are accessed. Based at least in part on the set of additional error logs, a window extension is determined. The error analysis window is extended based on the window extension, and an error summary is generated based on one or more error logs received during the extended error analysis window.
In an attempt to reduce congestion in the upper layers and improve efficiency in semiconductor devices, embodiments comprise a semiconductor device that comprises a substrate, a shallow trench isolation (STI) layer formed on the substrate. The semiconductor device also includes comprises a first gate, a second gate, and a gate strap connecting the first gate to the second gate. The gate strap is formed in the STI layer.
H01L 27/088 - Devices consisting of a plurality of semiconductor or other solid-state components formed in or on a common substrate including integrated passive circuit elements with at least one potential-jump barrier or surface barrier the substrate being a semiconductor body including only semiconductor components of a single kind including field-effect components only the components being field-effect transistors with insulated gate
H01L 29/06 - Semiconductor bodies characterised by the shapes, relative sizes, or dispositions of the semiconductor regions
H01L 29/417 - Electrodes characterised by their shape, relative sizes or dispositions carrying the current to be rectified, amplified or switched
H01L 29/423 - Electrodes characterised by their shape, relative sizes or dispositions not carrying the current to be rectified, amplified or switched
H01L 29/775 - Field-effect transistors with one-dimensional charge carrier gas channel, e.g. quantum wire FET
Deposit and cure, on a first heat transfer component, a porous organo-silicate material. Fill connected porosity of the deposited and cured porous organo-silicate material with a thermally conductive material. Bond the porous organo-silicate material having the filled connected porosity to a second heat transfer component.
F28F 3/06 - Elements or assemblies thereof with means for increasing heat-transfer area, e.g. with fins, with recesses, with corrugations the means being attachable to the element
C09K 5/14 - Solid materials, e.g. powdery or granular
C23C 14/04 - Coating on selected surface areas, e.g. using masks
A method, system, computer program product, and computer program for managing data in a storage system, the storage system comprising: a set of subsystems comprising: a structure comprising a set of mappings between logical and mapped addresses; and a storage device comprising a first data version at a first mapped address; the method comprising: for at least one substructure: providing, in the structure, for the first logical address, a verified pointer to the first mapped address; writing a second data version for a second mapped address, the second mapped address different from the first mapped address; providing, in the structure, for the first logical address a write-head pointer to the second mapped address; gathering the second data version to determine metadata for the second data version, the metadata associated with an indicator; in response to the indicator comprising a verify indicator; updating the verify pointer to the second mapped address.
A method, system, and computer program product receive constraints for execution of a workload on one or more trusted execution environments from a plurality of entities. The constraints form a constraint space. An execution requirement for controlling the trusted execution environment(s) using the constraints is automatically generated. The execution requirement defines parameters for executing the workload in compliance with the constraints. The automatically generating includes adding identifiers of the constraints to the execution requirement for an attestation of constraints being complied with by the trusted execution environment(s) when executing the workload in compliance with the execution requirement. The trusted execution environment(s) are controlled in compliance with the execution requirement. The controlling includes providing the execution requirement to the trusted execution environment(s), which enables the trusted execution environment(s) to provide one or more attestation records for an attestation of the execution. The attestation records include the identifiers.
G06F 21/53 - Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems during program execution, e.g. stack integrity, buffer overflow or preventing unwanted data erasure by executing in a restricted environment, e.g. sandbox or secure virtual machine
83.
DATA VALIDATION CHECKPOINT AND FLASH MEMORY ROLLBACK
A method, system, computer program product, and computer program for managing data in a storage system, the storage system comprising: a set of subsystems comprising: a structure comprising a set of mappings between logical and mapped addresses; and a storage device comprising a first data version at a first mapped address; the method comprising: for at least one substructure: providing, in the structure, for the first logical address, a verified pointer to the first mapped address; writing a second data version for a second mapped address, the second mapped address different from the first mapped address; providing, in the structure, for the first logical address a write-head pointer to the second mapped address; gathering the second data version to determine metadata for the second data version, the metadata associated with an indicator; in response to the indicator comprising a verify indicator; updating the verify pointer to the second mapped address.
xxxx and the fluorinated gas in the reactor, and a separation component for removing silicon tetrafluoride from a gaseous mixture formed in the reactor. A process of semiconductor manufacturing includes defluorinating exhaust gas using the process. A system for semiconductor manufacturing includes a set of components for carrying out the process.
The present invention provides a semiconductor structure (10). The semiconductor structure (10) includes a first area (810) having a back-end-of-line (BEOL) region that includes a first set of vias (301/302); a metal level (M1) with one metal line (311/312/313) above the first set of vias (301/302); and a second set of vias (321) above the metal level (M1); and a second area (820) having a metal stub (350), where a bottom surface of the metal stub (350) is substantially aligned with a bottom surface of the first set of vias (301/302) and a top surface of the metal stub (350) is substantially aligned with either a top surface of the one metal line (311/312/313) of the metal level (M1) or a top surface of the second set of vias (321), and where the metal stub (350) has a horizontal width that is at least 10 times larger than a width of the one metal line (311/312/313). A method of forming the semiconductor structure (10) is also provided.
A semiconductor integrated circuit (IC) device includes a bottom wire level, a top wire level, a first region with a first vertical dimension between the bottom wire level and the top wire level, and a second region with a second vertical dimension between the bottom wire level and the top wire level that is less than the first vertical dimension. The discrepancy in the vertical dimensions between wiring levels in different regions of the semiconductor IC device may provide desired or optimized capacitance and/or resistance metrics therein and may increase overall semiconductor integrated circuit (IC) device performance.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
In an approach to generating super resolution images, a computer selects a latent vector associated with a high resolution image from a plurality of latent vectors of a generative neural network model. A computer generates a super resolution image from the selected latent vector. A computer downscales the super resolution image to match a size of a plurality of low resolution images. A computer computes a difference between the super resolution image and each of the plurality of low resolution images. A computer determines a minimum difference of the difference between the super resolution image and each of the plurality of low resolution images. A computer determines the minimum difference meets a stopping criteria. A computer transmits the super resolution image to a user. A computer stores the super resolution image.
G06T 3/4053 - Scaling of whole images or parts thereof, e.g. expanding or contracting based on super-resolution, i.e. the output image resolution being higher than the sensor resolution
G06T 3/4046 - Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
88.
AUTOMATED META-LEARNING IN CLUSTERING USING A MACHINE LEARNING CLUSTERING META LEARNING MODEL
A method of creating a machine learning clustering meta learning model for use in solving a machine learning clustering problem includes obtaining a plurality of information related to the machine learning clustering problem, wherein the plurality of information includes classification datasets, machine learning transformers and clustering estimators, creating a set of clustering datasets using the classification datasets, generating trained clustering pipelines by training the set of unsupervised clustering pipelines responsive to the clustering datasets, processing the trained clustering pipelines to generate internal scores and external scores for the set of clustering datasets, creating an encoded clustering pipeline by encoding the trained clustering pipeline using the external score as a label and generating a trained supervised machine learning model by combining the internal scores and the encoded clustering pipelines.
A computer-implemented method includes parsing, by a processor set, text comprised by an alert corresponding to an information technology (IT) abnormality incident, resulting in alert data. The processor set uses a generative machine learning (ML) model to generate a natural language summary of the incident. The natural language summary includes a symptom-resource pairing corresponding to the alert and is based on the alert data and on a topology of keywords comprised by the alert. In one or more embodiments, the computer-implemented method further comprises employing, by the processor set, graph connectivity distances between elements of the topology to verify the symptom-resource pairing.
A computer-implemented method and related system explore a combinatorial space. A combinatorial library and a desired output are identified. From the combinatorial library, an initial dataset is identified to be tested experimentally to create the combinatorial space. The following functions are iteratively performed: experimentally screening a set of diverse machine learning models (MLMs) using the initial data set or an augmented data set to produce experimental screening results; training the MLMs using the experimental screening results; selecting, from the MLMs, at least one MLM having a highest accuracy and performance; screening the combinatorial library; calculating a normalized similarity factor measured from top-ranked combinations; identifying, using the normalized similarity factor, an amount of the model-driven augmented data to be added to the top-ranked combinations; obtaining augmented data; and selecting the augmented data from the top-ranked combinations and the augmented combinatorial data. The iteration exits upon meeting an exit criterion.
G16B 40/00 - ICT specially adapted for biostatisticsICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
A computer-implemented method for automated floorplan assistance is provided. The computer-implemented method includes automating simultaneous placements of large blocks, soft blocks and ports into a grid, grouping the large blocks, the soft blocks and the ports into nodes, executing a learning flow for both coarse movements and fine movements of the nodes relative to the grid to iteratively improve a floorplan of the grid by assigning rewards associated with placement tool steering in accordance with learned attractions of the nodes toward certain areas of the grid, executing a dynamic grid size determination based on sizes of the nodes to enable handling of multiple nodes of differing sizes together and generating an output comprising a grid size in accordance with the dynamic grid size determination and node assignments for each node at grid locations associated with greatest rewards.
A method, system, and computer program product for augmenting a limited dataset with data to optimize an indicator value. A quantum model is trained on a quantum computer with a known dataset to identify the relationship between the feature vectors consisting of binary data and the associated objective variables. A quantum state of the quantum model is measured by the quantum computer by employing a quantum circuit to obtain a collection of observed bitstrings. Furthermore, index values are calculated by a classical computer based on the collection of observed bitstrings. An optimal indicator value is calculated by the classical computer based on the index values and the observed bitstrings. The data point that optimizes the indicator value is then identified by the quantum computer. The dataset is then updated by the classical computer with the identified data point and the best indicator value within the updated dataset is adjusted accordingly.
Systems and techniques that facilitate creation and archiving of controlled structures are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a first machine learning model that classifies a use case for an artificial intelligence product into a use case category and generates a risk score for the artificial intelligence product based on the use case category, a deployment profile and one or more compliance mandates; and a second machine learning model that performs one or more risk mitigation actions based on the assigned risk score, the deployment profile and the one or more compliance mandates.
Systems and techniques that facilitate multilingual ASR machine learning models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise an automatic speech recognition machine learning model that learns shared weights across one or more languages in a set of target languages; and a training component that trains the automatic speech recognition model.
Embodiments of present invention provide a method of forming a semiconductor structure. The method includes providing a first dielectric layer with a metal line in a first metal level; forming a second dielectric layer on top of the first dielectric layer; creating a trench opening over a via opening in the second dielectric layer; selectively forming a dielectric liner lining sidewalls and a bottom surface of the trench opening and lining sidewalls of the via opening; and filling the trench opening and the via opening with a conductive material to form a trench directly over a via with a common conductive core. A structure formed thereby is also provided.
H01L 23/522 - Arrangements for conducting electric current within the device in operation from one component to another including external interconnections consisting of a multilayer structure of conductive and insulating layers inseparably formed on the semiconductor body
H01L 21/768 - Applying interconnections to be used for carrying current between separate components within a device
An apparatus is provided for processing a digital signal for a digital-to-analog converter (“DAC”). The apparatus includes a monitoring component configured to monitor a sequence of samples of the digital signal for a predetermined pattern of signal values. Upon determining that the sequence of samples does include the predetermined pattern of signal values, then samples in the sequence of samples that include the predetermined pattern of signal values are sent to the DAC. Noise is injected into an interpolation component, and the noise is withheld from an output of the DAC.
A computer-implemented method to decode and execute a memory command with partial frame data is provided. The computer-implemented method includes receiving the memory command during early cycles of a frame, the memory command being locatable in a template of the frame by reference to an opcode of the frame, sending the memory command to a command first-in-first-out (FIFO) unit as an unverified command once decoder logic decodes the memory command, prior to a cyclic redundancy check (CRC) and prior to arrival of full address bits of the frame in later cycles, entering the unverified command into a scheduling queue to allow for early bank activation, executing the CRC and confirming the unverified command as a verified command based on no errors being found during the CRC.
Automated on-demand occupant environment modulation in a data center, including: identifying, by a computing device operatively coupled to one or more computing devices in a data center, based on data from one or more sensors, a location of an individual in the data center; and modifying, by the computing device, one or more environmental parameters at the location, including modifying operation of the one or more computing devices in the data center based on the location of the individual in the data center relative to the one or more computing devices.
Examples described herein provide a computer-implemented method that includes receiving, at a dilated convolution and attention-based neural network, vector embeddings corresponding to sequence elements of sequential data. The dilated convolution and attention-based neural network includes a dilated convolutional neural network, a plurality of block-local attention blocks, and a feed-forward neural network. The method further includes generating, using the dilated convolution and attention-based neural network, a sequence of vector embeddings based at least in part on the sequential data.
A cross-point array includes an array of Resistive Processing Unit (RPU) devices having rows and columns interconnected at cross-points, wherein the RPU devices receive a finite duration input voltage on the rows and output a current on the columns. An input-signal matched filter is coupled to each of the columns to reduce noise in the current in accordance with the finite duration input voltage.
