09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; computer servers; computer hardware for data
storage; computer peripheral devices; computer software;
microprocessors; digital signal processors; network servers;
communications servers [computer hardware]. Computer programming services; computer rental services;
server hosting; rental of web servers; optimization services
for computers, namely, computer networks and computer
software configuration; installation of computer software;
maintenance and upgrading of computer software, namely,
enhancing functions of computer software, changing or adding
functions of computer software, and providing information
thereon; software as a service [SaaS]; computer system
consulting and advisory services; providing temporary use of
non-downloadable cloud-based software; providing technical
information about computers, computer software and computer
networks; platform as a service [PaaS].
2.
METHOD AND APPARATUS FOR DETERMINING CARDIAC MOTION FEATURE
An apparatus to determine a cardiac motion feature and a method thereof. The method includes: acquiring wireless signals reflected by multiple body parts via a wireless sensing device; filtering the acquired wireless signals using a single-band filter or a multi-band filter, to obtain filtered time domain signals; calculating signal quality evaluation values for evaluating signal quality of the filtered time domain signals; selecting candidate signals from the filtered time domain signals according to the signal quality evaluation values; and determining a cardiac motion feature based on the candidate signals. The method is easy to implement and easy to operate, which can not only guarantee accuracy of the obtained cardiac motion feature, but also has a strong anti-noise capability and high privacy protectiveness.
A61B 5/11 - Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb
A61B 5/00 - Measuring for diagnostic purposes Identification of persons
A61B 5/0507 - Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fieldsMeasuring using microwaves or radio waves using microwaves or terahertz waves
3.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, CALCULATION METHOD AND INFORMATION PROCESSING DEVICE
A non-transitory computer-readable recording medium that stores a program causing a computer to execute a process, the process including, repeating a search process to find a solution for an optimization target, generate a plurality of solutions by varying the solution, and calculate an average value and a variance value of an objective function for the plurality of solutions, and outputting a combination satisfying a predetermined condition among combinations of the average value and the variance value obtained in each search process.
An amplifier includes a rat-race coupler, a first peak amplifier configured to perform class C amplification, a second peak amplifier configured to perform class C amplification with a phase inverted relative to the first peak amplifier, a carrier amplifier configured to perform AB class amplification, a 180-degree hybrid circuit configured to invert a phase of either a signal transmitted from a third terminal to a second terminal or a signal transmitted from a fourth terminal to the second terminal and to output signals from the second terminal in phase with each other, a first transmission line having a quarter wavelength and coupled between a fourth port of the rat-race coupler and the first peak amplifier, and a transmission line having the quarter wavelength and coupled between the first peak amplifier and a terminal of the carrier amplifier.
This information processing device executes first training for training a feature converter that converts a first feature amount used for prediction in a trained first machine learning model having a first number of parameters into a second feature amount, and a predictor of a second machine learning model that includes a feature generator and a predictor and has a second number of parameters smaller than the first number of parameters, the training being performed by using an output result obtained by inputting the second feature amount converted by the feature converter into the predictor. The information processing device executes second training for training the feature generator on the basis of the conversion result converted by the trained feature converter and a generation result generated by the feature generator of the second machine learning model.
A computer obtains a causal relationship including a plurality of explanatory variables and a response variable by performing causal discovery using a subset extracted from a data aggregate including a value of each of the explanatory variables and a value of the response variable on the basis of each of a plurality of conditions related to ranges of the values of the explanatory variables. The computer obtains a causal effect of any explanatory variable of the explanatory variables on the response variable on the basis of the causal relationship obtained on the basis of each of the conditions. The computer obtains a determination result of similarity in the causal effects obtained on the basis of the respective conditions, by determining the similarity. The computer obtains an identified range of the value of each of the explanatory variables in which the causal effects have a predetermined sign on the basis of the determination result of the similarity and outputs range information indicating the identified range.
A load distribution device includes a memory and a controller coupled to the memory. The controller is configured to execute a control process including: monitoring a processing load of each of a plurality of processing devices configured to execute processing of a plurality of sub-models included in a machine learning model, and executing, when a first processing device having a processing load equal to or more than a first threshold is detected, first control for allocating a first sub-model to a second processing device to which a second sub-model different from the first sub-model is allocated, based on allocation of the plurality of sub-models and the plurality of processing devices, the second processing device being different from the first processing device to which the first sub-model is allocated and having the processing load less than the first threshold.
An information processing apparatus divides a quantum circuit into subcircuits each assigned to one of a plurality of quantum processors. The information processing apparatus predicts, for each of the subcircuits, fidelity when the subcircuit is executed by the quantum processor assigned thereto. The information processing apparatus repeats the process of dividing the quantum circuit into the subcircuits by increasing the number of subcircuits and the process of predicting the fidelity until the fidelity satisfies a predetermined criterion. When the criterion is satisfied, the information processing apparatus instructs a quantum computer to execute each of the subcircuits by the quantum processor assigned thereto. The information processing apparatus calculates, by classical computation, a computation result of the quantum circuit based on execution results of the subcircuits.
Under a production environment, an autonomous management system detects a change in a parameter file. In response to detection of the change in the parameter file, the autonomous management system updates a parameter file included in a DB container according to the change, and writes the contents of the change into a parameter table provided in a database included in the DB container. Under a disaster recovery environment, an autonomous management system detects a change in a parameter table in a database included in a DB container. In response to detection of the change in the parameter table, the autonomous management system updates a parameter file according to the change.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
10.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
A non-transitory computer-readable recording medium stores therein a program that causes a computer to execute a process including acquiring causal information representing a causal relationship among a plurality of variables, information representing a particular objective variable out of the variables, and information representing an intervention variable to be set out of the variables, generating a particular function representing a relationship between the particular objective variable and the intervention variable, based on the causal information, deciding, based on an objective function including the particular function, a value of the intervention variable that improves a value of the objective function, and outputting the value of the intervention variable.
An information processing device executes a quantum circuit multiple times and classifies combinations of determination results of first conditional branches in a first portion of the quantum circuit into multiple groups, based on the similarity of the combinations of the determination results of a second conditional branch in the second portion. The information processing device generates first information indicating a method of allocating physical qubits to the first portion, and generates and associates with each group, second information indicating a method of allocating physical qubits to the second portion. After executing the first portion according to the generated first information, the information processing device controls an executing unit to execute the second portion according to any of the second information, according to the current combination of the determination results of the first conditional branch.
An information processing apparatus includes, a memory, and a processor coupled to the memory and configured to convert a first sentence and a second sentence into vector values using a sentence embedding model, calculate a first similarity of the first sentence to the second sentence based on the vector value of the first sentence and the vector value of the second sentence, extract feature values of the first sentence and the second sentence, and calculate a second similarity by correcting the first similarity by weighting based on a difference between the feature values of the first sentence and the second sentence.
An information processing device includes a processor configured to estimate, based on observation history data including a parameter of a machine training model that is sampled based on a probability measure on a parameter space and an observation result that is estimated in a case of setting the parameter to the machine training model, an optimum parameter and a function of the parameter that derives the observation result set an optimization problem for minimizing a false identification probability of falsely identifying, as an optimal solution, another parameter other than the optimum parameter on the parameter space based on the estimated function and the optimum parameter and search for a parameter to be an optimal solution to the machine training model by applying a projection subgradient method to the optimization problem.
A non-transitory computer-readable recording medium has stored therein a control program that causes a computer to execute a process including determining a first parallel number of nodes to execute computation for structural information of a polymer, based on a number of atoms contained in the polymer submitting a job to a plurality of nodes, the job associating the structural information of the polymer with the first parallel number allowing a number of nodes corresponding to the first parallel number for the structural information of the polymer to execute computation for the structural information of the polymer and when a computation time of the computation for the Structural information of the polymer reaches a reference time or more, allowing the nodes that have performed the computation to update a parallel number for the polymer from the first parallel number to a second parallel number.
G16B 15/00 - ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
15.
QUANTUM CIRCUIT TRANSFORMATION METHOD AND INFORMATION PROCESSING APPARATUS
A quantum circuit includes a rotation gate representing a gate operation for an arbitrary rotation that rotates a state of a qubit to be operated about an axis different from the coordinate axes. An information processing apparatus transforms the rotation gate for the arbitrary rotation into a sub-circuit that performs a rotation gate operation in which a rotation about a Z-axis is insufficient by a predetermined angle relative to the arbitrary rotation. The information processing apparatus changes, in the quantum circuit, a gate operation of one or a plurality of quantum gates following the rotation gate, which acts on the qubit to be operated, to a gate operation that performs an additional rotation about the Z-axis by the predetermined angle.
An access control device includes, a memory that stores data associated with an NFT on a blockchain and stores disclosure destination information indicating a disclosure destination of the data in association with identification information of the NFT; and a processor coupled to the memory and the processor configured to, determine whether or not to disclose the data to a disclosure requester based on the disclosure destination information stored in the memory in a case where a disclosure request of the data is received from the disclosure requester, the disclosure request being based on an access destination of the data indicated by the NFT.
G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules
H04L 9/32 - Arrangements for secret or secure communicationsNetwork security protocols including means for verifying the identity or authority of a user of the system
17.
COMPUTER-READABLE RECORDING MEDIUM, MACHINE LEARNING METHOD, AND MACHINE LEARNING DEVICE
A non-transitory computer-readable recording medium has stored therein a machine learning program causing a computer to execute a process including, estimating a first intensity estimation value that indicates an intensity of a data change in data after change, performing a first update, by using an intensity adjustment learning device, on a learning device such that the data change of the intensity indicated by the first intensity estimation value is added to data before change, generating post-change data by adding the data change to the data before change by using the learning device that has been subjected to the first update, estimating a second intensity estimation value that indicates the intensity of the data change in the post-change data by using the intensity estimation AT, and, causing the intensity adjustment learning device to perform first learning such that the second intensity estimation value approaches the first intensity estimation value.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
Cash registers; automated teller machines [ATM]; fire
alarms; gas alarms; anti-theft warning apparatus; electric
buzzers; laboratory apparatus and instruments; photographic
machines and apparatus; cinematographic machines and
apparatus; optical machines and apparatus; measuring or
testing machines and instruments; power distribution or
control machines and apparatus; batteries, electric; fuel
cells; electric or magnetic meters and testers; electric
wires and cables; telecommunication machines and apparatus;
radio machines and apparatus; radio beacon machines and
apparatus; computers; computer programs; computers; computer
peripheral devices; computer hardware; data processing
apparatus; tablet computers; electronic control apparatus;
industrial x-ray machines and apparatus, not for medical
use; magnetic object detectors; ultrasonic flaw detectors;
ultrasonic sensors; wearable computers; wearable video
display monitors; smartglasses; smart rings; personal
digital assistants in the shape of a watch; virtual reality
headsets; humanoid robots with artificial intelligence for
use in scientific research; humanoid robots with artificial
intelligence for educational support; game programs for home
video game machines; electronic circuits and CD-ROMs
recorded with programs for hand-held games with liquid
crystal displays; electronic circuits and CD-ROMs recorded
with automatic performance programs for electronic musical
instruments; phonograph records; downloadable music files;
recorded video discs, video tapes, and other recorded media;
downloadable image files, video files and movie files;
electronic publications, downloadable; computer software
using artificial intelligence [recorded]; computer programs
using artificial intelligence [recorded]; recorded or
downloadable computer software platforms using artificial
intelligence; image files, video files and movie files
relating to artificial intelligence, downloadable via the
internet. Computer-based information processing; computer-based data
processing; information processing using artificial
intelligence. Design of computers, electronic applied machines and
telecommunication apparatus, and consultancy relating to the
design thereof; designing of machines, apparatus,
instruments [including their parts] or systems composed of
such machines, apparatus and instruments; providing
information relating to computer design; design services
[excluding those relating to advertising]; computer software
design, computer programming, or maintenance of computer
software; providing information relating to computer
software design, computer programming, or maintenance of
computer software; design and development of computer
systems; maintenance of software for computer systems;
consultancy relating to software for computer systems;
monitoring of computer system operation by remote access;
configuration, installation, expansion, modification,
addition and other optimization of computer software, and
providing information relating thereto; design, programming,
configuration, installation, expansion, modification,
addition, maintenance and other optimization of computer
software, and providing information relating thereto;
consultancy relating to computer software design,
programming or maintenance; design and planning of
telecommunication network systems; maintenance of
telecommunication network systems being software;
consultancy relating to design and planning of
telecommunication network systems; consultancy relating to
maintenance of telecommunication network systems being
software; diagnosis or consulting relating to security
measures for telecommunication network systems; user
authentication services using technology for e-commerce
transactions; data encryption services; conversion
processing of electronic data for embedding or removing
digital watermarks using computers; fault diagnosis and
virus scanning of computer software; conversion of computer
programs and data, other than physical conversion;
duplication of computer programs; internet security
consultancy; computer security consultancy; data security
consultancy; design and development of computer systems and
consultancy relating thereto; maintenance of software for
computer systems and consultancy relating thereto;
consultancy relating to cloud computing; creating or
maintaining websites for others; providing search engines
for the internet; technological advice relating to
computers, automobiles and industrial machines; testing,
inspection or research of pharmaceuticals, chemicals,
cosmetics or foodstuffs, and consultancy and providing
information relating thereto; research on building
construction or city planning, and consultancy relating
thereto; consultancy relating to testing, data analysis or
measurement in the field of civil engineering and building
construction; testing, inspection or research on
agriculture, livestock breeding or fisheries, and
consultancy, guidance and providing information relating
thereto; testing or research on computers and computer
programs; testing or research on telecommunication machines
and apparatus and their peripherals; testing or research on
semiconductors; testing or research on semiconductor
manufacturing equipment and semiconductor measuring
instruments; testing or research on machines, apparatus and
instruments, or consultancy relating thereto; research in
the field of artificial intelligence technology; rental of
computers; providing computer programs on data networks;
electronic data storage; rental of web servers; server
hosting; providing virtual computer systems through cloud
computing; software as a service [SaaS]; platform as a
service [PaaS]; preparation of technical manuals relating to
computers and computer programs; preparation of technical
manuals for computer operation and use of computer programs;
hosting of digital content on the internet; technological
consultancy services for digital transformation; rental of
memory space for storage of electronic data of digital
images; hosting of digital content relating to artificial
intelligence on the internet; rental of memory space for
storage of electronic data of digital images relating to
artificial intelligence; design of artificial
intelligence-based products; technological consultancy in
the field of artificial intelligence; research in the field
of artificial intelligence technology; artificial
intelligence consultancy; development of computer platforms
using artificial intelligence; design and development of
computer software using artificial intelligence; maintenance
of computer software using artificial intelligence;
providing computer software platforms using artificial
intelligence as a service [PaaS]; development of computer
platforms using artificial intelligence; design, programming
or maintenance of computer platforms using artificial
intelligence; providing computer programs using artificial
intelligence on data networks; preparation of technical
manuals for computers and computer programs that utilize
artificial intelligence; creation or maintenance of websites
for information exchange in the field of artificial
intelligence; technological consultancy services for digital
transformation using artificial intelligence; providing
computer programs for information exchange in the field of
artificial intelligence on data networks; rental of memory
space on servers for websites for information exchange in
the field of artificial intelligence.
An imaging apparatus includes a conveying path inclined downward toward downstream in a medium conveying direction, a first imager to image a medium conveyed, a circuit board located below the conveying path, multiple electronic components mounted on the circuit board and having different heights, and a first shield located above the multiple electronic components to attenuate a radio wave generated by the first imager. The multiple electronic components include a first electronic component mounted on an upstream portion of the circuit board located below an upstream position in the medium conveying direction, and a second electronic component smaller in height than the first electronic component and mounted on a downstream portion of the circuit board located below a position downstream from the upstream position. The first shield is inclined downward from the first electronic component toward the second electronic component and covers an upper side of the multiple components.
09 - Scientific and electric apparatus and instruments
35 - Advertising and business services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Cash registers; automated banking machines; Fire alarms; gas alarms; anti-theft warning apparatus; laboratory apparatus and instruments; photographic machines and apparatus; cinematographic machines and apparatus; optical machines and apparatus; measuring or testing machines and instruments; power distribution or control machines and apparatus; batteries, electric; Electrochemical generators including fuel cells; electric or magnetic meters and testers; electric wires and cables; telecommunication machines and apparatus; radio machines and apparatus; radio beacon machines and apparatus; computers; computer programs; Electronic machines and apparatus, and parts therefor; industrial X-ray machines and apparatus, not for medical use; magnetic object detectors; ultrasonic flaw detectors; ultrasonic sensors; Wearable mobile information terminals; Wearable displays; smartglasses; smart rings; personal digital assistants in the shape of a watch; virtual reality headsets; humanoid robots with artificial intelligence for use in scientific research; humanoid robots with artificial intelligence for use in educational support; game programs for home video game machines; electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays; electronic circuits and CD-ROMs recorded with automatic performance programs for electronic musical instruments; phonograph records; Downloadable music files; Prerecorded video discs and video tapes, and other prerecorded recording media; Downloadable image files, video files and motion picture files; Publications (Electronic -), downloadable. (1) Advertising and publicity services; promoting the goods and services of others through the administration of sales and promotional incentive schemes involving trading stamps; advertising provided via the Internet and mobile phones, and advertising agency services; Providing advertising space on websites on the Internet and providing information relating thereto; website traffic optimisation; presentation of goods on communication media, for retail purposes; Advertising and marketing, and providing advice and information relating thereto; business management analysis or business consultancy; business management; marketing research or analysis; providing information concerning commercial sales; organizing and conducting trade fairs, events and exhibitions for commercial or advertising purposes; conducting virtual trade show exhibitions online; business consultancy services relating to data processing; providing consulting services in the area of global sustainable business solutions; business consultancy services for digital transformation; Business research, analysis, guidance and advisory services relating to new business ventures; Providing consumer information relating to artificial intelligence (AI)-related products and services for business support of others; Business guidance and advisory services in the field of pharmaceuticals; Providing information relating to the sale of pharmaceuticals; Business management and operation relating to information processing and information and communication networks; Business management and operation relating to the operation of information processing and information and communication networks; Advisory and assistance services relating to business management and operation; Business management consultancy relating to the implementation of information technology (IT); Analysis of customer trend information and providing information relating to the results of such analysis; Employment agency services for engineers specializing in the design, development or maintenance of computers and computer programs; employment agency services; auctioneering; import-export agency services; office functions, namely filing, in particular documents or magnetic tapes; document reproduction; computerized file management; Administrative processing of sales orders and purchase orders for mail-order sales for others; compilation of information into computer databases; Compilation and systemization of information into computer databases and editing of information in computer databases, and advisory services relating thereto; data search in computer files for others; providing business assistance to others in the operation of data processing apparatus namely, computers, typewriters, telex machines and other similar office machines; Providing information relating to the operation of computers, typewriters, telex machines or other office machines and equipment equivalent thereto; Office machines and equipment rental; providing commercial information and advice for consumers in the choice of products and services; providing information about newspaper articles being news clipping services; Mediation or intermediation of subscription contracts for telecommunications by telephone, mobile telephone or computer terminals; retail services or wholesale services for electrical machinery and apparatuses; retail services or wholesale services for printed matter; retail services or wholesale services for paper and stationery.
(2) Design of computers, electronic apparatus and telecommunication apparatus, and advisory services relating to such design; designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; Providing information relating to the design of computers; Designing, other than for advertising purposes; computer software design, computer programming, or maintenance of computer software; provision of information relating to computer programs; Computerized information processing; Computerized data processing; Design, development or maintenance of computer systems; Advisory services relating to computer systems; Remote monitoring of computer systems; Configuration, installation, expansion, modification, addition or other optimization of computers, and providing information relating thereto; Design, development, configuration, installation, expansion, modification, addition, maintenance or other optimization of computer programs, and providing information relating thereto; Advisory services relating to the design, development or maintenance of computer programs; Design, planning or maintenance of telecommunication network systems; Advisory services relating to the design, planning or maintenance of telecommunication network systems; Security assessment or consultancy relating to telecommunication network systems; Authentication of users in electronic commerce; data encryption services; Computerized conversion of electronic data for embedding or removing digital watermarks; Diagnosis of faults in computer programs and computer virus detection; Conversion of computer programs and computer data; Duplication of computer programs; internet security consultancy; computer security consultancy; data security consultancy; Design, development or maintenance of computer systems, and advisory services relating thereto; Consulting services in the field of cloud computing; creating or maintaining web sites for others; Providing search engines for the Internet; technological advice relating to computers, automobiles and industrial machines; Testing, inspection or research of pharmaceuticals, chemicals, cosmetics or foodstuffs, and advisory and information services relating thereto; Research relating to civil engineering, architecture or urban planning, and advisory services relating thereto; Advisory services relating to testing, data analysis or measurement in the fields of civil engineering, architecture and related fields; Testing, inspection or research relating to agriculture, livestock farming or fisheries, and advisory, guidance and information services relating thereto; Testing or research relating to computers and computer programs; Testing or research relating to telecommunication apparatus and peripheral equipment therefor; Testing or research relating to semiconductors; Testing or research relating to semiconductor manufacturing equipment and semiconductor measuring apparatus; Testing or research relating to machinery and apparatus, or advisory services relating thereto; research in the field of artificial intelligence technology; rental of computers; providing computer programs on data networks; Rental of storage space on computers; rental of web servers; server hosting; Cloud computing; software as a service [SaaS]; platform as a service [PaaS]; Preparation of manuals relating to computers and computer programs; Preparation of manuals for the operation of computers and the use of computer programs.
21.
QUANTUM DEVICE AND METHOD OF MANUFACTURING QUANTUM DEVICE
A quantum device includes a quantum chip including a substrate, a quantum bit, and an electrode electrically connected to the quantum bit, a mounter having a mounting surface on which a peripheral edge of the quantum chip is mounted, the mounter having a linear expansion coefficient different from that of the substrate, a conductor pin having a tip end in contact with the electrode, and a holder fixed to the mounter, holding the conductor pin, and having a linear expansion coefficient different from that of the substrate. The electrode has a shape having a longitudinal direction in a direction radially extending from a center of the substrate, and the quantum chip is mounted on the mounting surface by inserting a protrusion provided on one of the substrate and the mounting surface into a hole provided on another thereof, the hole having a longitudinal direction in a direction extending radially.
A processor includes a memory access controller that accesses a memory based on a memory access request, a storage that stores a plurality of limit values of an access bandwidth of the memory in association with a plurality of power consumption values of the memory, respectively, a power capping controller that acquires a limit value corresponding to a specified power consumption value from the storage and controls the memory access controller so that the access bandwidth is the acquired limit value or less, and an initial setting circuit that repeatedly accesses the memory during an initialization mode, monitors a power consumption value for a case where the access bandwidth is not limited and a plurality of the power consumption values when the limit value is gradually varied, and stores the plurality of limit values in the storage in association with the plurality of monitored power consumption values, respectively.
A machine learning method includes for each of a predetermined number of slices divided from point cloud data including a target of gait recognition, determining whether a corresponding slice includes a point out of a distribution that deviates from the distribution of the target, maintaining a point slice determined not to include the point out of the distribution, obtaining a filtered slice by filtering the corresponding slice determined to include the point out of the distribution to remove the point out of the distribution, and merging the point slice determined not to include the point out of the distribution and the filtered slice with each other to reconstitute the point cloud data and generate disentanglement data.
Provided is a medium conveying apparatus which is prevented from being used with a roller cover open. A medium conveying apparatus includes a housing, a loading tray provided to be attachable and detachable relative to the housing and be movable between a fixed position where the loading tray is fixed to the housing to place a medium and an inclined position inclined relative to the fixed position for mounting the loading tray to the housing, a roller to separate the medium, and a cover provided to be openable and closable relative to the housing and be swingable between a closed position where the cover covers the roller and forms part of a guide surface of a medium and an open position for attaching and detaching the roller. The loading tray includes a contact part to come into contact with the cover and push the cover toward the closed position when the loading tray is located at the inclined position or when the loading tray moves from the inclined position to the fixed position with the cover located at the open position.
B65H 1/26 - Supports or magazines for piles from which articles are to be separated with auxiliary supports to facilitate introduction or renewal of the pile
B65H 1/04 - Supports or magazines for piles from which articles are to be separated adapted to support articles substantially horizontally, e.g. for separation from top of pile
There is provided a computer-implemented hybrid variational method of training a parametrised quantum circuit configuration to perform Gibbs state generation of a parametrised Hamiltonian.
G06N 10/60 - Quantum algorithms, e.g. based on quantum optimisation, or quantum Fourier or Hadamard transforms
G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
G06N 10/80 - Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computersPlatforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing
G06N 7/01 - Probabilistic graphical models, e.g. probabilistic networks
26.
RECORDING MEDIUM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
A computer-readable recording medium stores therein an information processing program for causing a computer to execute a process, the process includes: obtaining a decomposition number of a Trotter decomposition approximating a quantum unitary corresponding to an Ising model; and setting a quantum circuit expressing a formula of the Trotter decomposition by one or more first partial circuits and a second partial circuit, the one or more first partial circuits being of a first count one less than the obtained decomposition number and each including an Rz gate that represents a rotation action about a Z-axis on a qubit, the second partial circuit being free of the Rz gate and coupled to a rear of the one or more first partial circuits.
An information processing apparatus acquires a message including a job name of a job in which a trouble has occurred and type information indicating a type of the trouble. The information processing apparatus determines an impact level of the trouble on a system executing the job, based on a combination of the job name and the type information. The information processing apparatus determines an attribute of information to be acquired, based on the determined impact level. Then, the information processing apparatus acquires, from first information relating to the job, second information having the determined attribute.
A processing unit groups a plurality of sequences to be aligned in a multiple sequence alignment problem into a plurality of groups, selects a representative sequence from each of the plurality of groups, and causes an Ising machine to perform a first alignment process among the representative sequences of the plurality of groups. The processing unit replaces the representative sequence before the first alignment process with the corresponding representative sequence obtained through the first alignment process in each of the plurality of groups, and causes the Ising machine to perform a second alignment process within each of the plurality of groups after the replacement of the representative sequences.
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G06F 7/08 - Sorting, i.e. grouping record carriers in numerical or other ordered sequence according to the classification of at least some of the information they carry
29.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING DEVICE, AND INFORMATION PROCESSING METHOD
A non-transitory computer-readable recording medium having stored therein an information processing program causing a computer to perform a process including: in classification processing on input graph structure data using a machine learning model, acquiring a contribution degree in the classification processing for each of a plurality of partial regions included in graph structure data; and determining an evaluation for the machine learning model based on similarity between the contribution degree and designation information for the partial region of the graph structure data.
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
G16B 15/00 - ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
09 - Scientific and electric apparatus and instruments
41 - Education, entertainment, sporting and cultural services
42 - Scientific, technological and industrial services, research and design
Goods & Services
(1) Computers; computer programs; computer software; electronic machines and apparatus, and parts therefor; telecommunication machines and apparatus; measuring or testing machines and instruments; fire alarms; gas alarms; anti-theft warning apparatus; laboratory apparatus and instruments; photographic machines and apparatus; cinematographic machines and apparatus; optical machines and apparatus; power distribution or control machines and apparatus; batteries, electric; electric or magnetic meters and testers; electric wires and cables; radio machines and apparatus; personal digital assistants [PDAs]; game programs for home video game machines; electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays; electronic circuits and CD-ROMs recorded with automatic performance programs for electronic musical instruments; phonograph records; game programs for arcade video game machines; downloadable music files; prerecorded video discs and video tapes, and other prerecorded recording media; downloadable image files and video files; electronic publications, downloadable. (1) Design, creation, development or maintenance of computer software; providing information relating to computer software design; providing computer software; software as a service [SaaS]; upgrading and rental of computer software; platform as a service [PaaS]; computer software design, computer programming, or maintenance of computer software; advisory and information services relating to the design, development or maintenance of computer programs; design of computers, electronic apparatus and telecommunication apparatus, and advisory services relating to such design; designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; providing information relating to the design of computers; designing, other than for advertising purposes; computerized information processing; computerized data processing; design, development or maintenance of computer systems; advisory services relating to computer systems; remote monitoring of computer systems; configuration, installation, expansion, modification, addition or other optimization of computers, and providing information relating thereto; configuration, installation, expansion, modification, addition, maintenance or other optimization of computer programs, and providing information relating thereto; design, planning or maintenance of telecommunication network systems; advisory services relating to the design, planning or maintenance of telecommunication network systems; security assessment or consultancy relating to telecommunication network systems; authentication of users in electronic commerce; data encryption services; computerized conversion of electronic data for embedding or removing digital watermarks; diagnosis of faults in computer programs and computer virus detection; conversion of computer programs and computer data; duplication of computer programs; design, development or maintenance of computer systems, and advisory services relating thereto; consulting services in the field of cloud computing; creating or maintaining web sites for others; providing search engines for the Internet; technological advice relating to computers, automobiles and industrial machines; testing, inspection or research of pharmaceuticals, chemicals, cosmetics or foodstuffs, and advisory and information services relating thereto; research relating to civil engineering, architecture or urban planning, and advisory services relating thereto; advisory services relating to testing, data analysis or measurement in the fields of civil engineering, architecture and related fields; testing, inspection or research relating to agriculture, livestock farming or fisheries, and advisory, guidance and information services relating thereto; testing or research relating to computers and computer programs; testing or research relating to telecommunication apparatus and peripheral equipment therefor testing or research relating to semiconductors; testing or research relating to semiconductor manufacturing equipment and semiconductor measuring apparatus; testing or research relating to machinery and apparatus, or advisory services relating thereto; research in the field of artificial intelligence technology; rental of computers; providing computer programs on data networks; rental of storage space on computers; rental of web servers; server hosting; cloud computing; preparation of manuals relating to computers and computer programs; preparation of manuals for the operation of computers and the use of computer programs.
09 - Scientific and electric apparatus and instruments
42 - Scientific, technological and industrial services, research and design
Goods & Services
Computers; computer programs; computer software; electronic machines and apparatus, and parts therefor; telecommunication machines and apparatus; measuring or testing machines and instruments; fire alarms; gas alarms; anti-theft warning apparatus; laboratory apparatus and instruments; photographic machines and apparatus; cinematographic machines and apparatus; optical machines and apparatus; power distribution or control machines and apparatus; electric batteries; electric or magnetic meters and testers; electric wires and cables; radio machines and apparatus; game programs for home video game machines; electronic circuits and CD-ROMs recorded with programs for hand-held games with liquid crystal displays; electronic circuits and CD-ROMs recorded with automatic performance programs for electronic musical instruments; phonograph records; game programs for arcade video game machines; downloadable music files; prerecorded video discs and video tapes, and other prerecorded recording media; downloadable image files and video files; downloadable electronic publications; personal digital assistants [PDAs] providing information relating to computer software design; providing computer software; software as a service (SaaS); upgrading and rental of computer software; platform as a service (PaaS); advisory and information services relating to the design, development or maintenance of computer programs; design of computers, electronic apparatus and telecommunication apparatus, and advisory services relating to such design; designing of machines, apparatus, instruments [including their parts] or systems composed of such machines, apparatus and instruments; providing information relating to the design of computers; designing, other than for advertising purposes; computerized information processing; computerized data processing; design, development or maintenance of computer systems; advisory services relating to computer systems; remote monitoring of computer systems; configuration, installation, expansion, modification, addition or other optimization of computers, and providing information relating thereto; configuration, installation, expansion, modification, addition, maintenance or other optimization of computer programs, and providing information relating thereto; design, planning or maintenance of telecommunication network systems; advisory services relating to the design, planning or maintenance of telecommunication network systems; security assessment or consultancy relating to telecommunication network systems; authentication of users in electronic commerce; data encryption services; computerized conversion of electronic data for embedding or removing digital watermarks; diagnosis of faults in computer programs and computer virus detection; conversion of computer programs and computer data; duplication of computer programs; design, development or maintenance of computer systems, and advisory services relating thereto; consulting services in the field of cloud computing; creating or maintaining websites for others; providing search engines for the Internet; technological advice relating to computers, automobiles and industrial machines; testing, inspection or research of pharmaceuticals, chemicals, cosmetics and foodstuffs, and advisory and information services relating thereto; research relating to civil engineering, architecture or urban planning, and advisory services relating thereto; advisory services relating to testing, data analysis or measurement in the fields of civil engineering, architecture and related fields; testing, inspection or research relating to agriculture, livestock farming or fisheries, and advisory, guidance and information services relating thereto; testing or research relating to computers and computer programs; testing or research relating to telecommunication apparatus and peripheral equipment therefor; testing or research relating to semiconductors; testing or research relating to semiconductor manufacturing equipment and semiconductor measuring apparatus; testing or research relating to machinery and apparatus, or advisory services relating thereto; research in the field of artificial intelligence technology; rental of computers; providing computer programs on data networks; rental of storage space on computers; rental of web servers; server hosting; cloud computing; preparation of manuals relating to computers and computer programs; preparation of manuals for the operation of computers and the use of computer programs; Design, creation, development or maintenance of computer software; computer software design, computer programming or maintenance of computer software
A processor chip having a plurality of processor cores, the processor chip including a phase-locked loop circuit configured to input a common oscillation value common to each of the plurality of processor cores, a first frequency change circuit configured to, in a first processor core of the plurality of processor cores, perform a given clock pulse skipping from the common oscillation value according to a first oscillation value set for the first processor core, and to operate the first processor core at the first oscillation value, and a second frequency change circuit configured to, in a second processor core of the plurality of processor cores, perform a given clock pulse skipping from the common oscillation value according to a second oscillation value set for the second processor core, and to operate the second processor core at the second oscillation value.
H03L 7/183 - Indirect frequency synthesis, i.e. generating a desired one of a number of predetermined frequencies using a frequency- or phase-locked loop using a frequency divider or counter in the loop a time difference being used for locking the loop, the counter counting between fixed numbers or the frequency divider dividing by a fixed number
H03L 7/085 - Details of the phase-locked loop concerning mainly the frequency- or phase-detection arrangement including the filtering or amplification of its output signal
33.
RECORDING MEDIUM, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE
A computer-readable recording medium storing therein an information processing program for causing a computer to execute a process including: setting first and second functions, for a quantum circuit used when solving a combinatorial optimization problem and including, for each layer, a first partial circuit representing an action of a mixer unitary operator and a second partial circuit representing an action of a cost unitary operator, the first function representing a first variational parameter of the first partial circuit, the second function representing a second variational parameter of the second partial circuit; and calculating a solution to the combinatorial optimization problem by updating a value of a first transformation parameter related to the first function and a value of a second transformation parameter related to the second function so as to optimize an expected value of a cost function corresponding to the combinatorial optimization problem by using the quantum circuit after setting the first function and the second function.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING DEVICE, DETECTION METHOD, AND DETECTION DEVICE
B. G. NEGEV TECHNOLOGIES AND APPLICATIONS LTD., at Ben-Gurion University (Israel)
Inventor
Shams, Jacob
Nassi, Ben
Koda, Satoru
Shabtai, Asaf
Elovici, Yuval
Abstract
A non-transitory computer-readable medium stores an information processing program that causes a computer to detect bounding boxes of an object in multiple frames captured by a camera installed at a fixed location. The program determines reliability for each detected bounding box and generates a heat map representing average reliability at each coordinate within the camera's field of view. By aggregating reliability values across frames, the system produces a spatial representation useful for analyzing detection performance within the monitored area.
G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
G06V 20/52 - Surveillance or monitoring of activities, e.g. for recognising suspicious objects
G06V 40/10 - Human or animal bodies, e.g. vehicle occupants or pedestriansBody parts, e.g. hands
A Majorana quantum bit includes: a first topological insulator layer including a first edge; a first s-wave superconductor layer; and a first layer provided between the first edge and the first s-wave superconductor layer and which allows cooper pairs to enter the first edge from the first s-wave superconductor layer.
A medium feed apparatus includes a stacking tray, a pick roller located at an upstream side from a feed roller and separation roller in the medium conveyance direction, a first sensor located at an upstream side from the pick roller in the medium conveyance direction, a second sensor located at a downstream side from the feed roller and the separation roller in the medium conveyance direction, and a processor to rotate the pick roller and the feed roller in a medium feed direction to feed a plurality of sheets of the medium stacked on the stacking. The processor stops the pick roller when the second sensor detects a front end of a preceding sheet of the medium and rotates the pick roller again to advance a succeeding sheet of the medium when the first sensor detects a back end of the preceding sheet of the medium.
B65H 7/12 - Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors responsive to presence of faulty articles or incorrect separation or feed responsive to double feed or separation
B65H 3/52 - Friction retainers acting on under or rear side of article being separated
B65H 7/06 - Controlling article feeding, separating, pile-advancing, or associated apparatus, to take account of incorrect feeding, absence of articles, or presence of faulty articles by feelers or detectors responsive to presence of faulty articles or incorrect separation or feed
B65H 7/18 - Modifying or stopping actuation of separators
An information processing device according to the present invention displays, in a first region of a display unit, information defining a legal procedure required for introducing an AI system to be introduced into a market to which a law defining regulations and legal requirements regarding AI is applied, on the basis of a compliance result indicating whether or not the AI system satisfies each of a plurality of legal requirements of the applied law. The information processing device acquires a request that is detected by an agent which generates information in response to input information and that relates to a legal requirement or a legal procedure in audit trail work for a regulatory authority. The information processing device causes the agent which has received an input of the request to generate response information in response to the request, the response information being an explanation related to audit trail work for the regulatory authority, displays the response information in a second region of the display unit, and, after the information and the response information have been displayed on the display unit, registers an audit trail for the regulatory authority.
A processing unit acquires the data of first and second classical shadows corresponding to first and second quantum data represented by qubits, and geometric structure information indicating the geometric structure of a space including lattice points associated with the qubits. The first and second classical shadows include first and second data elements, respectively, corresponding to the qubits. The processing unit sets local subspaces each including a set of local lattice points in the space, based on the geometric structure information. The processing unit calculates, for each local subspace, a value of a first kernel function based on first and second data elements of the first and second classical shadows corresponding to the lattice points of that local subspace, and calculates a value of a second kernel function corresponding to the first and second classical shadows, based on the values of the first kernel function corresponding to the local subspaces.
A method of manufacturing a Josephson junction element includes forming a lower electrode on a substrate by using a superconducting material, depositing a first insulating film on the substrate to cover the lower electrode, depositing a superconducting film on the first insulating film, and forming an upper electrode by etching the superconducting film, the upper electrode covering an entire lower electrode in plan view and having an outer peripheral edge located outside an outer peripheral edge of the lower electrode.
A non-transitory computer-readable recording medium stores therein a program that causes a computer to execute a process including calculating, for a machine learning model having a plurality of mechanisms that each of the mechanisms generate attention information, cosine similarity of the attention information generated by each of the mechanisms, calculating an entropy of an aggregate of the attention information generated by the mechanisms, and training the machine learning model by minimizing the cosine similarity and maximizing the entropy.
A non-transitory computer-readable recording medium that stores a program causing a computer to execute a process, the process including, when converting an analysis target into an evaluation function and searching for a solution, generating a plurality of evaluation functions by reflecting variations in at least any element of the evaluation function, generating an objective function by combining the plurality of evaluation functions, and searching for a solution in the objective function.
A computer is configured to acquire first region information indicating a region of an object in an input image, the first region information being output from a first object detection model used by a first object detection device, acquire an attribute of the object, cause the first object detection device to output output data including second region information obtained by changing the first region information by a predetermined amount for a trigger object having the attribute satisfying a condition defined as a trigger, and makes it difficult for a cloner to notice and suppressing a loss of functionality in object detection.
G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
G06T 3/40 - Scaling of whole images or parts thereof, e.g. expanding or contracting
G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
A method may include obtaining a configuration of a quantum circuit comprising n qubits and k quantum gates. The k quantum gates include at least a single-qubit gate or a two-qubit control gate. The method may include constructing a neural network representing the quantum circuit, wherein the neural network includes k+1 layers that include k pairs of adjacent layers, with each pair of the adjacent layers corresponding to one of the k quantum gates. The method may include connecting one or more nodes in each pair of the adjacent layers based on a representation of a corresponding quantum gate of the k quantum gates. The method may include training the neural network using machine learning techniques to obtain an output. The method may include applying the output to the quantum circuit.
An information processing apparatus includes a control unit. The control unit acquires target analysis information indicating physical and chemical analysis results corresponding to an inspection target by inputting an inspection image from a nondestructive inspection on the inspection target to a first machine learning model trained by machine learning using a first data set of training data that associates an inspection image from a nondestructive inspection on first food with first analysis information indicating physical and chemical analysis results for the first food. The control unit infers sensory evaluation results corresponding to the inspection target by inputting the acquired target analysis information to a second machine learning model trained by machine learning using a second data set of training data that associates second analysis information indicating physical and chemical analysis results for second food with sensory evaluation results for the second food.
Provided in the embodiments of the present application is a method for determining power control parameters, which is applied to a terminal device. The method comprises: before applying a transmission configuration indicator state (TCI state), transmitting a physical uplink shared channel (PUSCH) on a non-subband full duplex (SBFD) symbol and/or SBFD symbol; and on the basis of at least one of a first parameter preambleReceivedTargetPower, a second parameter msg3-DeltaPreamble and a third parameter deltaPreamble, determining a target receiving power for the PUSCH transmitted on the non-SBFD symbol, and on the basis of at least one of a fourth parameter preambleReceivedTargetPower-SBFD, a fifth parameter msg3-DeltaPreamble-SBFD and a sixth parameter deltaPreamble-SBFD, determining a target receiving power for the PUSCH transmitted on the SBFD symbol; and/or, on the basis of a seventh parameter msg3-Alpha, determining a path loss compensation factor for the PUSCH transmitted on the non-SBFD symbol, and on the basis of an eighth parameter msg3-Alpha-SBFD, determining a path loss compensation factor for the PUSCH transmitted on the SBFD symbol.
A non-transitory computer-readable recording medium stores therein an output program that causes a computer to execute a process including receiving information related to a policy, identifying a policy model by using the received information related to the policy, the policy model being composed of a plurality of components defining a detail related to the policy in a hierarchical structure, generating a policy model in which one or more components corresponding to the information related to the policy among the components of the identified policy model are changed, and , outputting the generated policy model.
There is provided a non-transitory computer-readable medium storing a calculation program for causing a computer to execute a process. The process includes, training a model by using a loss term corresponding to a degree of continuity or discreteness of a variable to be optimized as a cost function in a search process that incorporates continuous relaxation into a discrete optimization problem, and changing the loss term as the search process progresses.
This information processing device, when allocating a sample to each of a plurality of processors and processing the plurality of samples in the training stage of a machine learning model, calculates a calculation cost, in which the time required for processing is estimated, for each of the plurality of samples. The information processing device allocates the plurality of samples to the plurality of processors on the basis of the calculation costs such that the difference between the total values of the calculation costs of the samples allocated to the respective processors falls below a threshold value.
A computer-readable recording medium stores therein a training program that causes a computer to execute a process including first inputting a first image capturing a target compound to an encoder of an auto-encoder including a latent space that is isometric with respect to an input space, second inputting a latent variable output by the encoder and a typical compound model corresponding to a typical case of a three-dimensional structure of the target compound to a decoder of the auto-encoder, and updating parameters of the encoder and the decoder, based on a reconfiguration error between a second image reconfigured based on an output of the encoder and the first image.
In an embodiment, a set of hash functions and a set of data streams to be hashed may be received. Each of a first hash function and a second hash function may be selected from the received set of hash functions by using a hash selector in an encoder system. The first hash function is applied on a first set of data streams to generate a first hashed data stream. The second hash function is applied on a second set of data streams to generate a second hashed data stream. An encoded data stream associated with the set of data streams is generated. The generated encoded data stream is transmitted to a decoder system associated with the encoder system, wherein the decoder system is configured to determine the set of data streams from the transmitted encoded data streams, based on both the first hash function and the second hash function.
H04L 9/06 - Arrangements for secret or secure communicationsNetwork security protocols the encryption apparatus using shift registers or memories for blockwise coding, e.g. D.E.S. systems
According to an aspect of an embodiment, a method may include obtaining a tabular dataset. The tabular dataset may be converted into a first dataset having a first data type using a first converter. The tabular dataset may be converted into a second dataset having a second data type using a second converter. The method may further include generating, using a first encoder, a first set of embeddings in a first dimensional space based on the first dataset and generating, using a second encoder, a second set of embeddings in a second dimensional space based on the second dataset. The method may further include training one or both of the first encoder and the second encoder based on the first set of embeddings and the second set of embeddings.
A quantum device includes a quantum bit having a Josephson junction element; a signal source connected to the quantum bit; and a resistive element connected between a signal path between the signal source and the quantum bit, and a ground line.
5 A computer-implemented method of training a filter for large language model, LLM, outputs, the method comprising: accepting input of a plurality of training prompts, the plurality of training prompts comprising labels identifying each prompt as a safe prompt or an unsafe prompt; for each training prompt, obtaining a plurality of LLM parameter gradients by passing the training prompt through an LLM selecting a subset of the plurality of LLM 0 parameter gradients, and quantizing the subset to obtain quantized gradient information; and training a classifier using the quantized gradient information and the training prompt labels, the trained classifier being configured to act as the filter for LLM outputs and classify prompts as safe or unsafe.
A computer-implemented method comprising: generating, based on log data, a first knowledge hypergraph; extracting from the log data information related to a set of keywords and generating, based on the extracted information, a set of second knowledge hypergraphs; generating a combined hypergraph; extracting, from among nodes of the combined hypergraph, query-specific seed nodes based on similarity between the nodes of the combined hypergraph and named entities in a received query; detecting communities in the combined hypergraph and computing a community weight for each community; and ranking hyperedges in the combined hypergraph, wherein the ranking of each hyperedge is based on weights of the nodes which the hyperedge connects, and using a first LLM to generate, based on the query and the ranked hyperedges, an answer to the query.
The present invention evaluates the reliability of the response of a machine learning model to a prompt. An information processing device (10) inputs, to a machine learning model (13), a prompt (14) including first instructions that dictate the output of information related to first information and second instructions that dictate the output of the first information, acquires second information which was outputted from the machine learning model (13) in response to the second instructions, calculates the similarity between the first information and the second information, and determines a storage condition of the first information in the machine learning model (13) on the basis of the similarity.
This spatiotemporal inference device is configured to: convert spatiotemporal information that includes the position of an object in a real space at each time, said object being detected from an image of each frame of a video, into log data in a table format; and execute spatiotemporal inference on the video on the basis of the log data and a question in a natural language sentence.
This information processing device acquires a video including a person to be detected. The information processing device acquires object information that is outputted by a predetermined video analysis technique, the attribute information and behavior information of a person being associated with the person included in the video. The information processing device generates work assistance information for the person on the basis of the object information. The information processing device verifies the influence on the person when the person has changed an action on the basis of the generated work assistance information. The information processing device outputs the work assistance information when the verification result satisfies a prescribed condition.
The present invention improves the accuracy of fake detection. A processing unit (12) acquires an image pair from among a plurality of images. The processing unit (12) generates a composite image (40) by replacing low frequency components (21a) that correspond to frequencies lower than a first frequency and that are among the frequency components contained in a first partial image (21), which is a portion of a first image (20) belonging to the pair, with low frequency components of a second partial image (31) that is included in a second image (30) belonging to the pair and that corresponds to the first partial image (21). The processing unit (12) assigns, to the composite image (40), a label that is based on a first label indicating whether or not the first image (20) is a fake and a second label indicating whether or not the second image (30) is a fake. By machine learning using a composite image generated for each pair acquired from among the plurality of images and the label for the composite image, the processing unit (12) generates a machine learning model that outputs an indicator indicating the likelihood that a third image is a fake upon input of the third image.
A method may include discretizing a partial differential equation with an initial value condition to obtain a linear equation. The method may also include scaling at least one discretization parameter of the linear equation to obtain a scaled linear equation. The method may include applying a quantum algorithm to the scaled linear equation to obtain a linear system with a preconditioned matrix. The method may further include performing a quantum singular value transformation to apply an inverse of the preconditioned matrix to obtain a solution. The method may include extracting an integral probability from the solution using an integral interpolation.
G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
60.
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN DATA SELECTION PROGRAM, INFORMATION PROCESSING APPARATUS, AND COMPUTER-IMPLEMENTED DATA SELECTION METHOD
A non-transitory computer-readable recording medium having stored therein a data selection program that causes a computer to execute a process including determining, for each of a plurality of pieces of graph structure data, a weight in data selection based on the number of adjacent nodes shared by two nodes for a set of the two nodes included in the graph structure data, and selecting training data to be used for training a neural network that predicts a presence or absence of a link between nodes included in the graph structure data input as input data from among the plurality of pieces of graph structure data based on the determined weight and information indicating a presence or absence of a link between nodes for each of one or more sets of two nodes.
An information processing apparatus includes circuitry to receive a selection of an integration destination for imaging data from among a plurality of integration destination candidates, using settings information that includes imaging settings and an integration destination setting, determine whether a usage frequency of the integration destination meets a predetermined condition, create additional settings information that includes the integration destination specified in the integration destination setting when a usage frequency of the integration destination meets a predetermined condition, and display, on a display, the additional settings information as available.
An information processing device (100) acquires first structure information representing the structure of each sentence of a plurality of sentences. The information processing device (100) generates a first prompt (120) that is to be input into a first language model (110) and that requests aggregation of two or more sentences having same or similar structures among the plurality of sentences. The first prompt (120) includes each sentence and the acquired first structure information representing the structure of the sentence, in association with each other. This enables the information processing device (100) to generate an appropriate first prompt (120) that makes it easier for the first language model (110) to aggregate the plurality of sentences as intended by the user. The information processing device (100) can, for example, make it easier to aggregate a plurality of sentences based on a contract. Therefore, the information processing device (100) can be used, for example, to make it easier for users to understand contract contents, thus preventing contract violations.
The present invention improves the accuracy of distance measurement. A housing (20) incorporates an irradiation unit (21) that emits a laser beam, a mirror (22) configured such that the angle at which the mirror reflects the laser beam can be changed, and a light-receiving unit (23) that receives a laser beam. A processing unit (12) acquires a first round-trip time of the laser beam emitted from the irradiation unit (21) to an object (30) via the mirror (22) and received by the light-receiving unit (23), and a first angle of rotation of the mirror (22). On the basis of in-housing flight time information (11a) that specifies the in-housing flight time of the laser beam for each angle of rotation of the mirror (22), the processing unit (12) performs correction for subtracting a first in-housing flight time corresponding to the first angle from the first round-trip time.
An information processing apparatus generates error patterns each indicating one or more first data qubits to which errors are introduced among a plurality of data qubits in a two-dimensional lattice where the data qubits and a plurality of ancilla qubits are alternately arranged in each of a row and a column direction; determines whether the first data qubits indicated by the error patterns satisfy a predetermined determination criterion; determines, when the criterion is satisfied, that a logical error does not occur in the error patterns; and determines, when the criterion is not satisfied, whether the logical error occurs based on error detection information where ancilla qubits adjacent, in the row or column direction, to the first data qubits indicated in the error patterns have flipped states.
G06N 10/70 - Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation
G06N 10/40 - Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control
G06N 10/80 - Quantum programming, e.g. interfaces, languages or software-development kits for creating or handling programs capable of running on quantum computersPlatforms for simulating or accessing quantum computers, e.g. cloud-based quantum computing
65.
MEMORY CIRCUIT AND INFORMATION PROCESSING APPARATUS
A memory circuit including a word line driver configured to set a potential of a word line signal input to a selected memory cell to a second value lower than a first value by a certain amount until a stable operation of the memory cell is ensured, a timing adjustment circuit configured to determine a time at which the potential of the word line signal is set to the second value, and a pull-up circuit configured to boost the potential of the word line signal from the second value to the first value according to the determined time.
An information processing device generates a first data group that is before transformation at an a-th diffusion stage. The information processing device obtains a third data group that is generated by a second quantum circuit according to a second data group that is before transformation at a b-th reverse diffusion stage. The information processing device trains the first quantum circuit to discriminate the first data group as true and to discriminate the third data group as false. The information processing device trains the second quantum circuit so that the trained first quantum circuit discriminates the third data group as true. The information processing device sets the trained second quantum circuit as a variational quantum circuit expressing an operation of the b-th reverse diffusion stage.
A non-transitory computer-readable recording medium stores therein an information notification program that causes a computer to execute a process including acquiring domain knowledge information including a work procedure of an operation to be monitored, analyzing video to be monitored and first identifying an image region of a person and an image region of an object to be worked by the person in the video, inputting a prompt composed of a feature of the identified image region of the person, a feature of the identified image region of the object, and the domain knowledge information to a large multi-modal model, and causing, when a work performed by the person in the video is not a behavior based on the work procedure of the operation, the large multi-modal model to generate information related to the work procedure, and notifying the generated information related to the work procedure.
A non-transitory computer-readable recording medium stores a generation program that causes a computer to execute a process including detecting an area in a store where a product is arranged, when an analysis result of the acquired purchase information during a certain period of time set in advance satisfies a predetermined condition, among a plurality of video images of the detected area, extracting an analysis result of each of the video images according to the certain period of time, every time the analysis result of the video image according to the certain period of time is extracted, storing the extracted analysis result of the video image in a storage, by inputting a prompt including the analysis result of the video image stored in the storage during a first period of time into a language model, and generating and outputting information on a measure to be taken in the store.
A quantum device includes a qubit substrate having qubits and conductive pads coupled to the qubits, the qubit substrate having a first thermal expansion coefficient; a first support having a second thermal expansion coefficient; a plurality of second supports each having a third thermal expansion coefficient disposed between the qubit substrate and the first support; a plurality of coupling members, each coupling the first support and a corresponding one of the second supports; and spring pins supported by the second supports and in contact with the conductive pads, wherein a control signal for controlling a state of each of the qubits is supplied to the corresponding conductive pad through the corresponding spring pin, and wherein an absolute value of a difference between the first and the second thermal expansion coefficients is smaller than an absolute value of a difference between the first and the third thermal expansion coefficients.
This information processing device estimates, from an image captured by a monocular camera, parameters including the focal length of the camera and the roll angle and pitch angle of the position of the camera, specifies the two-dimensional location of the head of a person standing upright and included in the image and the two-dimensional location of the feet of the same, and optimizes the height of the camera such that when the two-dimensional location of the head and the two-dimensional location of the feet are projected into a three-dimensional space using the parameters and the height of the camera, the distance from the three-dimensional location of the head and the three-dimensional location of the feet becomes a set value indicating the height of the person.
A recording medium storing a program causing a computer to execute: acquiring, from a value table storing records in association with molecules, a value list including one or more records corresponding to the target molecule, each of the records including a combination of a first number, which indicates how many pieces one quantum calculation processing is distributed into, and a processing time of executing the quantum calculation processing once with the first number; determining, using the one or more records, the first number and a second number indicating how many pieces the multiple times of quantum calculation processing are distributed into, so as to reduce a processing time of executing multiple times of quantum calculation processing, while a product of the first and second numbers does not exceed a number of arithmetic devices available; and controlling the multiple times of quantum calculation processing, using the first and second numbers.
An information processing apparatus generates a second quantum circuit by converting a first two-qubit gate included in a first quantum circuit into a two-qubit gate sequence in which the gate operation of the first two-qubit gate is repeated a predetermined number of times consecutively. The information processing apparatus converts a second two-qubit gate, which forms a part of the two-qubit gate sequence included in the second quantum circuit, into a first equivalent circuit representing a gate operation with a first global phase. In addition, the information processing apparatus converts a third two-qubit gate, which forms a part of the two-qubit gate sequence, into a second equivalent circuit representing a gate operation with a second global phase. Thus, a third quantum circuit is generated. The information processing apparatus then causes a quantum computer to execute the third quantum circuit.
A processing unit acquires a predicted retrieval time for each container to be arranged in a storage location (predetermined area), and an estimated value of the standard deviation of the error between the predicted retrieval time and an actual retrieval time. The processing unit determines, for each container pair, a weight coefficient representing a swapping probability of a retrieval order, using the predicted retrieval time and the estimated value. The processing unit formulates a linear programming problem relating to the container arrangement, using an objective function in which decision variables are weighted by the weight coefficients. Each decision variable indicates, for a container pair, whether a first container is stacked on a second container having a later retrieval time. The processing unit performs a solving process of the linear programming problem according to the objective function, and outputs arrangement information on the containers as a solving result.
G06Q 10/04 - Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
74.
PROGRAM, METHOD, AND DEVICE FOR APPROACH DETECTION
This device for approach detection: optimizes the height of a monocular camera by using parameters of the camera and a setting value related to the length of objects included in an image captured by the camera; calculates the three-dimensional position of the objects in the image by using the parameters of the camera and the optimized height of the camera; and outputs information related to the detection of at least one among the approach of the objects to each other and the approach of the objects to a predetermined area on the basis of the results of the calculation of the three-dimensional position of the objects.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM STORING COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING DEVICE
A recording medium storing a program for causing a computer to execute: acquiring a first quantum circuit expressing an action of a time evolution operator regarding a target problem, a second quantum circuit having parameters and a smaller number of quantum gates than the first quantum circuit, and a third quantum circuit defining one or more quantum states being a part of quantum states regarding the target problem, in which each of the first, second, and third quantum circuits has a first size; creating first, second, and third local circuits each having a second size, by respectively reducing sizes of the first, second, and third quantum circuits to the second size smaller than the first size; calculating solutions of the parameters, so as to minimize a value of a cost function for each quantum state; and setting a quantum circuit expressing the action of the time evolution operator.
There is provided a non-transitory computer-readable medium storing a calculation program for causing a computer to execute a process. The process includes expanding a discrete variable indicating 1 or 0 to a continuous variable ranging from 0 to 1, and controlling strength of a bias of whether the continuous variable expanded resembles ½, or 0 or 1 during a sampling from a probability distribution of a discrete variable is performed.
A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including generating a set of a plurality of routes for a plurality of moving bodies that depart from a specific node and return to the specific node via a plurality of nodes, the plurality of routes representing an order in which the plurality of moving bodies visit a predetermined number of nodes among the plurality of nodes, solving a route selection problem generated using the generated set of routes and provided with constraints on a shipment volume of the specific node or a node serving as a delivery source of packages among the plurality of nodes, and outputting a result of solving the route selection problem.
A processor includes a cache that holds data read from a memory by a memory access request; a prefetch queue including entries to be respectively assigned to streams, each of the entries being used to control prefetching of data from the memory to the cache for a corresponding stream, the streams being memory access requests for consecutive addresses; a stride setting circuit that adjusts a stride in accordance with a number of valid entries to which the streams are respectively assigned, and reduces the stride as the number of the valid entries increases, the stride being a change amount between an access address and a prefetch destination address; and a prefetch management circuit that issues a prefetch request to the memory, using the adjusted stride, upon or after a number of the memory access requests for the consecutive addresses reaching a first threshold value for each of the streams.
G06F 12/0862 - Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with prefetch
80.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, SPECIFYING METHOD, AND INFORMATION PROCESSING APPARATUS
A non-transitory computer-readable recording medium has stored therein a specifying program that causes a computer to execute a process including acquiring an attribute of training data, acquiring a document related to a decision-making condition for a specific attribute of a user inputting a prompt including the attribute of the training data and a token of the document related to the decision-making condition to a large-scale language model and outputting an appearance probability of a token related to the attribute and specifying a label of a training target of a machine learning model from the training data based on the output appearance probability of the token.
An information processing apparatus includes a memory that stores document data and metadata of the document data in association with each other, and circuitry to transmit the document data to a first storage service to store the document data in the first storage service, receive a storage location address of the document data from the first storage service, and transmit the metadata and the storage location address to a second storage service to store the metadata and the storage location address in the second storage service. The second storage service is different from the first storage service.
A recording medium stores a program for causing a computer to execute processing including: calculating energy of a molecule by a VQE and acquiring a number of iterations of the VQE for a molecular structure of each interatomic distance in the molecule by using quantum circuit information that represents a second quantum circuit obtained by reducing a number of Rz gates in a first quantum circuit, in which, when a cumulative increase number of the number of iterations from a first number of a first interatomic distance to a second number a second interatomic distance longer than the first interatomic distance becomes a threshold or more, the quantum circuit information is changed to quantum circuit information that represents a third quantum circuit obtained by increasing the number of Rz gates of the second quantum circuit.
G16C 10/00 - Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
G06N 10/20 - Models of quantum computing, e.g. quantum circuits or universal quantum computers
G06N 10/60 - Quantum algorithms, e.g. based on quantum optimisation, or quantum Fourier or Hadamard transforms
G16C 20/20 - Identification of molecular entities, parts thereof or of chemical compositions
83.
DATA PROCESSING APPARATUS AND DATA PROCESSING METHOD
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Canada)
Inventor
Watanabe, Yasuhiro
Tamura, Hirotaka
Sanchez, Alexander Valencia
Rosenthal, Jeffrey Seth
Sheikholeslami, Ali
Abstract
In executing trials each of which changes the value of a state variable included in state variable groups included in an evaluation function for a combinatorial optimization problem, a processing unit performs, based on evaluation function information on the evaluation function, a first process of determining a candidate for a first state variable whose value is to be changed in parallel for each state variable group, in each trial, with a first probability, performs, based on the evaluation function information, a second process of selecting one second state variable and determining whether to accept a change in the value thereof in parallel for each state variable group, in each trial, with a second probability, updates the value of the first state variable selected from the candidates determined by the first process, and updates the value of a second state variable whose change is accepted by the second process.
THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (Canada)
Inventor
Furue, Yuki
Watanabe, Yasuhiro
Yin, Fang
Tamura, Hirotaka
Sanchez, Alexander Valencia
Rosenthal, Jeffrey Seth
Sheikholeslami, Ali
Abstract
A search unit performs a search process. In the search process, a first process and a second process are iteratively performed. The first process is a process of selecting a change-target state variable from a plurality of state variables included in an evaluation function, based on the amounts of change in the value of the evaluation function caused by updating the values of the individual state variables and a first function that is a function representing a selection criterion for the change-target state variable according to the amounts of change. The second process is a process of updating the value of the selected change-target state variable. A control unit switches the function used by the search unit in the search process to a second function different from the first function.
A non-transitory computer-readable recording medium stores therein an output program that causes a computer to execute a process including receiving information related to a policy, identifying a policy model composed of a plurality of components that prescribes content related to the policy in a hierarchical structure using the received information related to the policy, generating a policy model in which one or more components corresponding to the information related to the policy among a plurality of components possessed by the identified policy model are changed and outputting the generated policy model.
An information processing device (100) extracts a plurality of topics in which a first user is interested and thinking tendency of the first user on the basis of content posted by the first user, in a network community. The information processing device (100) extracts topics in content posted by the first user and a plurality of second users in the community, and generates a context graph including a plurality of pieces of the posted content which are related to the same topic. The information processing device (100) updates the context graph by summarizing, on the basis of the thinking tendency, the plurality of pieces of the posted content which are included in the context graph. When a question is received from the first user, the information processing device (100) generates an answer to the question on the basis of the context graph corresponding to the topic of the question.
H04L 51/02 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
H04L 51/52 - User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
87.
COMPUTER-READABLE RECORDING MEDIUM, TRAINING METHOD, AND INFORMATION PROCESSING DEVICE
A non-transitory computer-readable recording medium stores therein a training program that causes a computer to execute a process including first inputting a first image capturing a target compound to an encoder of an auto-encoder including a latent space that is isometric with respect to an input space, second inputting a latent variable output by the encoder and a typical compound model corresponding to a typical case of a three-dimensional structure of the target compound to a decoder of the auto-encoder, and updating parameters of the encoder and the decoder, based on a reconfiguration error between a second image reconfigured based on an output of the encoder and the first image.
The present invention improves efficiency of data extraction. A processing unit (12) receives a designated number of pieces of data to be extracted from among a plurality of pieces of data each indicating a point in an N-dimensional space (20) (where N is an integer of 1 or greater). The processing unit (12) divides the N-dimensional space (20) into a first number of areas. For each of the first number of areas, the processing unit (12) performs a selection process for selecting one piece of data out of pieces of data from among the plurality of pieces of data which are present in the area. The processing unit (12) determines whether or not the total number of pieces of selected data is the same as the designated number. When the total number is not the same as the designated number, the processing unit (12) changes the number of areas partitioning the N-dimensional space (20) to a second number different from the first number, and performs the selection process.
A computer-readable recording medium stores therein a program for causing a computer to execute a process, the process including: identifying, among a plurality of jobs submitted to a system having a plurality of nodes, one or more jobs for which a waiting period during which the one or more jobs awaits execution exceeds a predetermined length, the one or more jobs being identified based on record information that for each of the plurality of jobs, indicates a number of nodes that execute the each of the plurality of jobs, a time point at which the each of the plurality of jobs is submitted, and a time point at which execution of the each of the plurality of jobs is started; and generating output information that visualizes, for each of the identified one or more jobs, the number of nodes that execute the each of the identified one or more jobs and the waiting period during which the each of the identified one or more jobs awaits execution.
A method for bias detection in large language models (LLMs) is disclosed. The method includes receiving a plurality of contrastive questions for a plurality of contexts. A prompt including at least two questions of the plurality of contrastive questions may be received. An LLM may be applied on the prompt to generate a set of reasonings associated with the at least two questions and a set of scores associated with the set of reasonings. Statistical hypothesis testing model may be applied on the set of scores. It may be determined whether the at least two questions are statistically different. A set of biases associated with the LLM may be detected, based on the statistical difference. Rendering of first information including the set of biases may be controlled.
There is provided a non-transitory computer-readable medium having stored therein a training program for causing a computer to execute a process, in training a machine learning model capable of generating self-sampled data based on a probability distribution estimated for sampled data. The process includes generating the self-sampled data from the machine learning model in process of training, and training the machine learning model so that a third loss function becomes small. The third loss function includes a first loss function of unsupervised training based on the sampled data and a second loss function of supervised training based on the sampled data and the self-sampled data.
A correction method includes acquiring time-series skeleton information in which a plurality of joints included in a human body and coordinates of the plurality of joints are set respectively determining a motion state in a correction section based on first skeleton information in front of the correction section and second skeleton information behind the correction section with respect to the time-series skeleton information and correcting skeleton information in the correction section based on a result of determining the motion state, by a processor.
A policy output method includes acquiring regional characteristics of a first region to which a policy is applied, referring to a storage that stores other policies applied to each of a plurality of second regions and regional characteristics of each of the plurality of second regions, calculating a similarity measure between regional characteristics of the first region and each of regional characteristics of the plurality of second regions, and outputting a policy applied to a similar region having the similarity measure equal to or greater than a threshold among the plurality of other policies stored in the storage, by a processor.
G01N 33/487 - Physical analysis of biological material of liquid biological material
G16H 40/20 - ICT specially adapted for the management or administration of healthcare resources or facilitiesICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
95.
NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM, MACHINE TRAINING DEVICE, AND MACHINE TRAINING METHOD
A non-transitory computer-readable recording medium stores therein a program that causes a computer to execute a process including acquiring a multi-objective optimization problem including a plurality of cost functions, extracting a plurality of weight parameters based on a simplex constructed by points corresponding to a number of the weight parameters that weight the respective cost functions, and training a machine training model that outputs a second solution set corresponding to a predetermined weight parameter by inputting a mapping to a first solution set corresponding to the weight parameters.
This camera control program causes a computer to execute a process of controlling driving of a camera by instructing the camera to operate at a panning speed determined according to a moving speed of a subject in a panning direction, if the moving speed of the subject in the panning direction is equal to or greater than a predetermined value.
A non-transitory computer-readable recording medium has stored therein an information processing program that causes a computer to execute a process. The process includes causing an agent corresponding to a person present in a real world to generate use experience of a service by performing a simulation regarding use of the service by the agent corresponding to the person in a digital twin in which the real world is reproduced on a virtual space. The process includes setting information regarding use intention of the service possessed by the agent corresponding to the person based on the generated use experience.
Inter-University Research Institute Corporation Research Organization of Information and Systems (Japan)
Inventor
Goshima, Masahiro
Ge, Yi
Abstract
An arithmetic unit that executes matrix multiplication operation C=A×B or matrix multiply-accumulate operation C=A×B+Cin, the arithmetic unit including the matrix A regarded as being divided into blocks Aik each being an l×1 column vector, the matrix B regarded as being divided into blocks Bkj each being a 1×m row vector, accumulating l×m outer products of the blocks Aik and the blocks Bkj in a processing tile including l×m processing elements performing element-wise multiply-accumulate operation on the matrices, and executing output-stationary systolic-array-based operation in units of the processing tile across an entirety of the arithmetic unit.
A non-transitory computer-readable recording medium has stored therein a machine learning program that causes a computer to execute a process including specifying an autoencoder in which a difference between input data and output data is equal to or greater than a predetermined standard from among autoencoders that are included in a data generation model, in a case where a training is performed on the data generation model that includes a plurality of autoencoders that are disposed in a first stage and one or more autoencoders that are disposed in an Nth stage and performing the training on the data generation model by using the specified autoencoder, and the autoencoder that receives, as the input data, the output data that has been output from the specified autoencoder as a target for the training.
An information processing apparatus includes a first operation portion to receive a first operation to start a predetermined process, a second operation portion to receive a second operation and to be controlled to change a display mode, and control circuitry to control the second operation portion to display a predetermined display when a state of the information processing apparatus satisfies a start condition for starting the predetermined process and does not satisfy a prevention condition for preventing execution of the predetermined process.
G06F 3/041 - Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means
G06F 3/01 - Input arrangements or combined input and output arrangements for interaction between user and computer
G06F 3/04886 - Interaction techniques based on graphical user interfaces [GUI] using specific features provided by the input device, e.g. functions controlled by the rotation of a mouse with dual sensing arrangements, or of the nature of the input device, e.g. tap gestures based on pressure sensed by a digitiser using a touch-screen or digitiser, e.g. input of commands through traced gestures by partitioning the display area of the touch-screen or the surface of the digitising tablet into independently controllable areas, e.g. virtual keyboards or menus
