Machine-implemented assistance is provided in interaction among multiple parties. This assistance can include recording of evidence of communication, and in particular to recording of evidence of language-based communication between humans and machines. Further, machine-implemented facilitation of dispute resolution based on the recorded evidence may be provided.
H04M 3/493 - Services d'information interactifs, p. ex. renseignements sur l'annuaire téléphonique
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
H04L 67/141 - Configuration des sessions d'application
Disclosed are implementations that include a method for question answering including receiving query data representative of a question, and performing a search of a document repository to identify one or more candidate answers responsive to the question, with each of the one or more candidate answers associated with a matching score representative of an answer quality for the respective one or more candidate answers. The method further includes performing, in response to a determination that none of the one or more candidate answers is associated with a respective matching score exceeding an answer quality threshold, a second search of a trusted repository storing trusted question-answer (Q-A) pairs to identify trusted Q-A pairs candidates based on matching the question to respective question portions of the identified trusted Q-A pairs according to one or more matching criteria, and providing output data based on results of the second search.
Disclosed are implementations, including a method for content creation that includes identifying, based on execution of queries on searchable content stored at a data repository, a response set comprising a plurality of low-quality query-response pairs, and forming groups comprising subsets of the plurality of query-response pairs, with the subsets of the plurality of query-response pairs being formed according to similarity characteristics of respective query-response pairs in the subsets. The method also includes selecting from at least one of the subsets representative one or more query- response pairs, and communicating the representative one or more query-response pairs selected from the at least one of the subsets to computing stations of one or more subject matter experts (SMEs) to generate refined content associated with the representative one or more query-response pairs.
Disclosed are implementations, including a method for interacting with a data storage that includes first data comprising data values for rendering in a renderable view and second data comprising specifications for determining the values in the first data. The method includes processing the data values of the first data to yield processed first data including semantic interpretation of the data values, processing the specifications of the second data to yield processed second data including functional definitions of the data values of the first data, accepting a natural language input, and processing the natural language input using the first processed data and the second processed data to respond to the natural language input. The data storage may include a spreadsheet, and the renderable view may include an array of cells of the spreadsheet in which at least some of the cells include renderings of respective data values.
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method for processing a document comprising natural language content that includes identifying a question content portion of the document representing one or more questions, determining an answer content portion of the document corresponding to the one or more questions, and recording the question content portion and the corresponding answer content portion for use in responding to natural language queries.
A question answering system is configured to extract answers to queries from a collection of data. The system includes an extractive stage configured to receive a query and to determine one or more answers to the query from the collection of data and one or more generative large language model stages configured to pre-process the query before it is provided to the extractive stage and/or to post-process the answers to the query.
Disclosed are methods, systems, devices, apparatus, media, and other implementations that include a method for document processing (particularly for training of a machine learning question answering platform, and for ingestion of documents). The method includes obtaining a question dataset (e.g., either from public or private repositories of questions) comprising one or more source questions for document processing by a machine learning question-and-answer system that provides answer data in response to question data submitted by a user, modifying a source question from the question dataset to generate one or more augmented questions with equivalent semantic meanings as that of the source question, and processing a document with the one or more augmented questions.
A question-answering system that receive a natural-language question includes a database to provide a basis for that answer and a structured-query generator that constructs a structured query from the question and uses it to obtain an answer to the question from the database.
G06V 30/414 - Extraction de la structure géométrique, p. ex. arborescenceDécoupage en blocs, p. ex. boîtes englobantes pour les éléments graphiques ou textuels
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document of a repository of a plurality of source documents, with the source content being associated with transformed content accessible from the local device. The method further includes generating, in response to determination, at the local device, of a match between the query data and at least one portion of the transformed content, output data comprising one or more of a pointer to access, in the source document accessible from the remote device, at least one portion of the source document corresponding to the at least one portion of the transformed content, or a copy of the at least one portion of the source document.
G06F 16/957 - Optimisation de la navigation, p. ex. mise en cache ou distillation de contenus
G06F 40/131 - Fragmentation de fichiers textes, p. ex. création de blocs de texte réutilisablesLiaison aux fragments, p. ex. par utilisation de XIncludeEspaces de nommage
G06F 40/137 - Traitement hiérarchique, p. ex. données générales
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
G06N 3/044 - Réseaux récurrents, p. ex. réseaux de Hopfield
A question-answering system that receive a natural-language question includes a database to provide a basis for that answer and a structured-query generator that constructs a structured query from the question and uses it to obtain an answer to the question from the database.
G06F 16/248 - Présentation des résultats de requêtes
G06V 30/414 - Extraction de la structure géométrique, p. ex. arborescenceDécoupage en blocs, p. ex. boîtes englobantes pour les éléments graphiques ou textuels
An intelligent document system provides one or more users, who are recipients of documents, with a way to “interact” with the documents for example for the purpose of understanding the content of the documents, and taking appropriate action in response to receiving the documents. Interacting with one or more documents can include navigating the documents guided by semantic content of the documents, asking questions that are answered based on the content of the documents. In some examples, the documents are “dynamic” in that users can manipulate data in the document for example for multiple different views or analyses. In some examples, the documents are augmented semantics and ontology that will allow the user to accurately navigate the document and achieve the natural interfacing they desire.
G06F 16/48 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving a source document, applying one or more pre-processes to the source document to produce contextual information representative of the structure and content of the source document, and transforming the source document, based on the contextual information, to generate a question-and-answer searchable document.
G06F 16/957 - Optimisation de la navigation, p. ex. mise en cache ou distillation de contenus
G06F 40/131 - Fragmentation de fichiers textes, p. ex. création de blocs de texte réutilisablesLiaison aux fragments, p. ex. par utilisation de XIncludeEspaces de nommage
G06F 40/137 - Traitement hiérarchique, p. ex. données générales
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes obtaining a query set (e.g., a universal set of questions), performing a question-and-answer (Q-A) search on one or more documents using the query set to produce answer data responsive to one or more questions included in the query set, with the answer data characterizing concepts associated with the one or more documents, and deriving structured output information for the one or more documents based on the answer data produced in response to performing the Q-A search.
A question-answering system that receive a natural-language question includes a database to provide a basis for that answer and a structured-query generator that constructs a structured query from the question and uses it to obtain an answer to the question from the database.
G06F 16/28 - Bases de données caractérisées par leurs modèles, p. ex. des modèles relationnels ou objet
G06F 16/21 - Conception, administration ou maintenance des bases de données
G06F 16/36 - Création d’outils sémantiques, p. ex. ontologie ou thésaurus
G06F 16/31 - IndexationStructures de données à cet effetStructures de stockage
G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données
G06F 9/455 - ÉmulationInterprétationSimulation de logiciel, p. ex. virtualisation ou émulation des moteurs d’exécution d’applications ou de systèmes d’exploitation
15.
METHODS AND SYSTEMS FOR IMPROVED DOCUMENT PROCESSING AND INFORMATION RETRIEVAL
Disclosed are methods, systems, devices, apparatus, media, and other implementations that include a method for document processing (particularly for training of a machine learning question answering platform, and for ingestion of documents). The method includes obtaining a question dataset (e.g., either from public or private repositories of questions) comprising one or more source questions for document processing by a machine learning question-and-answer system that provides answer data in response to question data submitted by a user, modifying a source question from the question dataset to generate one or more augmented questions with equivalent semantic meanings as that of the source question, and processing a document with the one or more augmented questions.
A question-answering system that receive a natural-language question includes a database to provide a basis for that answer and a structured-query generator that constructs a structured query from the question and uses it to obtain an answer to the question from the database.
Disclosed are methods, systems, devices, apparatus, media, and other implementations for improved search-time content retrieval performed by an information retrieval platform. The implementations include a method including determining by a searching system, at a first time instance, one or more first search results for a first query comprising one or more query terms associated with a first concept, modifying the query, based on the determined one or more first search results, to include one or more modified query terms associated with one or more concepts hierarchically related to the first concept, and determining at a subsequent time instance one or more subsequent search results for the modified query comprising the one or more modified query terms.
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes obtaining a query set (e.g., a universal set of questions), performing a question-and-answer (Q-A) search on one or more documents using the query set to produce answer data responsive to one or more questions included in the query set, with the answer data characterizing concepts associated with the one or more documents, and deriving structured output information for the one or more documents based on the answer data produced in response to performing the Q-A search.
G06F 16/383 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des métadonnées provenant automatiquement du contenu
19.
CONTEXTUAL CLARIFICATION AND DISAMBIGUATION FOR QUESTION ANSWERING PROCESSES
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes receiving query data representative of a question relating to source content of one or more source documents, and causing a search of a data repository maintaining data portions relating to the one or more source documents to determine a set of multiple matches between the query data and the data portions. The method additionally includes identifying one or more concepts associated with the set of multiple matches, with at least one of the identified concepts being associated with at least some of the multiple matches and including different respective values associated those some of the multiple matches, obtaining disambiguation information relevant to the at least one of the identified concepts, and selecting at least one of the multiple matches based on the obtained disambiguation information.
G06F 16/338 - Présentation des résultats des requêtes
G06F 16/387 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation
20.
Contextual Clarification and Disambiguation for Question Answering Processes
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes receiving query data representative of a question relating to source content of one or more source documents, and causing a search of a data repository maintaining data portions relating to the one or more source documents to determine a set of multiple matches between the query data and the data portions. The method additionally includes identifying one or more concepts associated with the set of multiple matches, with at least one of the identified concepts being associated with at least some of the multiple matches and including different respective values associated those some of the multiple matches, obtaining disambiguation information relevant to the at least one of the identified concepts, and selecting at least one of the multiple matches based on the obtained disambiguation information.
Disclosed are methods, systems, devices, apparatus, media, and other implementations, including a method that includes receiving query data representative of a question relating to source content of one or more source documents, and causing a search of a data repository maintaining data portions relating to the one or more source documents to determine a set of multiple matches between the query data and the data portions. The method additionally includes identifying one or more concepts associated with the set of multiple matches, with at least one of the identified concepts being associated with at least some of the multiple matches and including different respective values associated those some of the multiple matches, obtaining disambiguation information relevant to the at least one of the identified concepts, and selecting at least one of the multiple matches based on the obtained disambiguation information.
G06F 16/338 - Présentation des résultats des requêtes
G06F 16/387 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement utilisant des informations géographiques ou spatiales, p. ex. la localisation
22.
Document pre-processing for question-and-answer searching
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving a source document, applying one or more pre-processes to the source document to produce contextual information representative of the structure and content of the source document, and transforming the source document, based on the contextual information, to generate a question-and-answer searchable document.
G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
G06N 5/04 - Modèles d’inférence ou de raisonnement
G06F 40/131 - Fragmentation de fichiers textes, p. ex. création de blocs de texte réutilisablesLiaison aux fragments, p. ex. par utilisation de XIncludeEspaces de nommage
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
G06N 3/044 - Réseaux récurrents, p. ex. réseaux de Hopfield
Disclosed are implementations that include a method including obtaining at a local device, a question-and-answer data item representative of a question-and-answer pair relating to source content of a source document, with the question-and-answer data item being associated with question-and-answer history information representative of historical information and access information for the question-and-answer data item, and determining based on the question-and-answer history information whether to perform data refinement operations on the question-and-answer data item. The method further includes selecting, in response to a determination that the question-and-answer data item is to be refined, one of a plurality of users according to one or more matching criteria relating, at least in part, to subject-matter associated with the question-and-answer data item and expertise information respectively associated with the plurality of users, and communicating at least the question-and-answer data item to a destination device associated with the selected one of the plurality of users.
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document of a repository of a plurality of source documents, with the source content being associated with transformed content accessible from the local device. The method further includes generating, in response to determination, at the local device, of a match between the query data and at least one portion of the transformed content, output data comprising one or more of a pointer to access, in the source document accessible from the remote device, at least one portion of the source document corresponding to the at least one portion of the transformed content, or a copy of the at least one portion of the source document.
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document of a repository of a plurality of source documents, with the source content being associated with transformed content accessible from the local device. The method further includes generating, in response to determination, at the local device, of a match between the query data and at least one portion of the transformed content, output data comprising one or more of a pointer to access, in the source document accessible from the remote device, at least one portion of the source document corresponding to the at least one portion of the transformed content, or a copy of the at least one portion of the source document.
Disclosed are methods, systems, devices, apparatus, media, design structures, and other implementations, including a method that includes receiving, at a local device from a remote device, query data representative of a question relating to source content of a source document, and determining whether one or more pre-determined questions stored in a question-answer cache maintained at the local device matches the query data according to one or more matching criteria. The method further includes obtaining from the question-answer cache, in response to a determination that at least one of the pre-determined questions matches the query data received from the remote device, at least one answer data item, associated with at least one pre-determined question, corresponding to an answer to the question relating to the source content.
G06N 3/04 - Architecture, p. ex. topologie d'interconnexion
G06N 3/00 - Agencements informatiques fondés sur des modèles biologiques
G06F 17/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des fonctions spécifiques
G06N 5/022 - Ingénierie de la connaissanceAcquisition de la connaissance
G06N 3/006 - Vie artificielle, c.-à-d. agencements informatiques simulant la vie fondés sur des formes de vie individuelles ou collectives simulées et virtuelles, p. ex. simulations sociales ou optimisation par essaims particulaires [PSO]
Distributed cloud-based data storage divides a file for storage into a number of portions that are separately stored with two or more storage service providers. The division and/or transmission of the file may be implemented based on arbitrary criteria, including random selection, an applied storage policy or assignment of a given portion to a corresponding storage service provider as examples. One or more portions of the file may be assembled into an upload file that is transmitted to and received from a storage provider. The portions of the file received from the storage provider may be used to reconstruct the file.
G06F 15/16 - Associations de plusieurs calculateurs numériques comportant chacun au moins une unité arithmétique, une unité programme et un registre, p. ex. pour le traitement simultané de plusieurs programmes
H04L 67/1097 - Protocoles dans lesquels une application est distribuée parmi les nœuds du réseau pour le stockage distribué de données dans des réseaux, p. ex. dispositions de transport pour le système de fichiers réseau [NFS], réseaux de stockage [SAN] ou stockage en réseau [NAS]
An intelligent document system provides one or more users, who are recipients of documents, with a way to "interact" with the documents for example for the purpose of understanding the content of the documents, and taking appropriate action in response to receiving the documents. Interacting with one or more documents can include navigating the documents guided by semantic content of the documents, asking questions that are answered based on the content of the documents. In some examples, the documents are "dynamic" in that users can manipulate data in the document for example for multiple different views or analyses. In some examples, the documents are augmented semantics and ontology that will allow the user to accurately navigate the document and achieve the natural interfacing they desire.
An intelligent document system provides one or more users, who are recipients of documents, with a way to “interact” with the documents for example for the purpose of understanding the content of the documents, and taking appropriate action in response to receiving the documents. Interacting with one or more documents can include navigating the documents guided by semantic content of the documents, asking questions that are answered based on the content of the documents. In some examples, the documents are “dynamic” in that users can manipulate data in the document for example for multiple different views or analyses. In some examples, the documents are augmented semantics and ontology that will allow the user to accurately navigate the document and achieve the natural interfacing they desire.
G06F 16/48 - Recherche caractérisée par l’utilisation de métadonnées, p. ex. de métadonnées ne provenant pas du contenu ou de métadonnées générées manuellement
Distributed cloud-based data storage divides a file for storage into a number of portions that are separately stored with two or more storage service providers. The division and/or transmission of the file may be implemented based on arbitrary criteria, including random selection, an applied storage policy or assignment of a given portion to a corresponding storage service provider as examples. One or more portions of the file may be assembled into an upload file that is transmitted to and received from a storage provider. The portions of the file received from the storage provider may be used to reconstruct the file.
G06F 15/173 - Communication entre processeurs utilisant un réseau d'interconnexion, p. ex. matriciel, de réarrangement, pyramidal, en étoile ou ramifié
H04L 29/08 - Procédure de commande de la transmission, p.ex. procédure de commande du niveau de la liaison
31.
RECORDING EVIDENCE OF COMMUNICATION IN HUMAN-MACHINE INTERACTIONS
Machine-implemented assistance is provided in interaction among multiple parties. This assistance can include recording of evidence of communication, and in particular to recording of evidence of language-based communication between humans and machines. Further, machine-implemented facilitation of dispute resolution based on the recorded evidence may be provided.
Machine-implemented assistance is provided in interaction among multiple parties. This assistance can include recording of evidence of communication, and in particular to recording of evidence of language-based communication between humans and machines. Further, machine-implemented facilitation of dispute resolution based on the recorded evidence may be provided.
Machine-implemented assistance is provided in interaction among multiple parties. This assistance can include recording of evidence of communication, and in particular to recording of evidence of language-based communication between humans and machines. Further, machine-implemented facilitation of dispute resolution based on the recorded evidence may be provided.
G06F 16/27 - Réplication, distribution ou synchronisation de données entre bases de données ou dans un système de bases de données distribuéesArchitectures de systèmes de bases de données distribuées à cet effet
G06Q 10/0635 - Analyse des risques liés aux activités d’entreprises ou d’organisations
H04L 43/08 - Surveillance ou test en fonction de métriques spécifiques, p. ex. la qualité du service [QoS], la consommation d’énergie ou les paramètres environnementaux
H04L 67/141 - Configuration des sessions d'application
H04M 3/493 - Services d'information interactifs, p. ex. renseignements sur l'annuaire téléphonique
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software featuring software for use in the
design and development of artificial intelligence
applications; computer software for artificial intelligence
applications; computer software for use in controlling the
operation and execution of computer systems, programs, and
networks; computer software for use in connecting disparate
computer networks and systems, servers and storage devices;
computer operating system software; computer software for
linking together computers and for enabling computing across
a globally accessible network; computer software for
managing hardware, software and processes that exist within
an information technology environment, and instructional
manuals sold as a unit therewith; all of the above relating
specifically to cognitive computing technologies that
provide multi-modal natural language processing, generation,
reasoning and machine learning for contextual analysis and
natural interaction. Business management and consultancy; business information
services; business management consulting services and
business management and consulting services relating to a
computer that integrates natural language processing (nlp),
computational linguistics (cl), information retrieval (ir)
and machine learning (ml) which is capable of understanding
general human queries and formulating responses; business
development services; data processing services and
cloud-based business services, namely, business consultation
services via cloud computing networks; arranging and
conducting trade show exhibitions in the field of computers,
computer services, information technology and electronic
business transactions via a global computer network, and a
computer that integrates natural language processing (nlp),
computational linguistics (cl), information retrieval (ir)
and machine learning (ml) which is capable of understanding
general human queries and formulating responses; all of the
above relating specifically to cognitive computing
technologies that provide multi-modal natural language
processing, generation, reasoning and machine learning for
contextual analysis and natural interaction. Software as a service (saas) services, namely, software for
use by others for design and development of artificial
intelligence applications; software as a service (saas)
services, namely, software for use by others for artificial
intelligence applications; design and development of
computer software for artificial intelligence applications;
computer programming; design, updating and maintenance of
computer software; computer software and hardware design for
others; consultation services in the field of computers,
namely, computer technology consulting; computer services,
namely, technology support services, namely, troubleshooting
in the nature of diagnosing of computer hardware and
computer software problems for a computer that integrates
natural language processing (nlp), computational linguistics
(cl), information retrieval (ir) and machine learning (ml)
which is capable of understanding general human queries and
formulating responses; computer systems analysis,
integration of computer systems and networks, computer
programming for others all for use in commercial
interactions over global computer networks; computer
software and hardware testing services; computer system
analysis services in the nature of providing technical
project studies in the field of computer hardware and
software, namely, computer system analysis studies;
consultancy in the field of computer hardware, namely,
computer technology consultancy regarding computer research
and development; scientific and industrial research, namely,
research and development of new products, biological
research, computer technology consulting services, namely,
technical research in the field of computer technology that
integrates natural language processing (nlp), computational
linguistics (cl), information retrieval (ir) and machine
learning (ml) which is capable of understanding general
human queries and formulating responses, and scientific
research for medical purpose; computer systems integration
services; computer consultation services, namely, computer
technology consulting services; consulting services in the
field of design, selection, implementation and use of
computer hardware and software systems for others; computer
systems design services for others; interconnection of
computer hardware and software, namely, integration of
computer systems and networks; computer software and
hardware testing services, namely, testing of computer
software, computers and servers; installation, updating and
maintenance of computer software; computer programming for
others; all of the above relating specifically to cognitive
computing technologies that provide multi-modal natural
language processing, generation, reasoning and machine
learning for contextual analysis and natural interaction.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Downloadable software featuring software for use in the
design and development of artificial intelligence
applications; computer software for artificial intelligence
applications; computer software for use in controlling the
operation and execution of computer systems, programs, and
networks; computer software for use in connecting disparate
computer networks and systems, servers and storage devices;
computer operating system software; computer software for
linking together computers and for enabling computing across
a globally accessible network; computer software for
managing hardware, software and processes that exist within
an information technology environment, and instructional
manuals sold as a unit therewith; all of the above relating
specifically to cognitive computing technologies that
provide multi-modal natural language processing, generation,
reasoning and machine learning for contextual analysis and
natural interaction. Business management and consultancy; business information
services; business management consulting services and
business management and consulting services relating to a
computer that integrates natural language processing (nlp),
computational linguistics (cl), information retrieval (ir)
and machine learning (ml) which is capable of understanding
general human queries and formulating responses; business
development services; data processing services and
cloud-based business services, namely, business consultation
services via cloud computing networks; arranging and
conducting trade show exhibitions in the field of computers,
computer services, information technology and electronic
business transactions via a global computer network, and a
computer that integrates natural language processing (nlp),
computational linguistics (cl), information retrieval (ir)
and machine learning (ml) which is capable of understanding
general human queries and formulating responses; all of the
above relating specifically to cognitive computing
technologies that provide multi-modal natural language
processing, generation, reasoning and machine learning for
contextual analysis and natural interaction. Software as a service (saas) services, namely, software for
use by others for design and development of artificial
intelligence applications; software as a service (saas)
services, namely, software for use by others for artificial
intelligence applications; design and development of
computer software for artificial intelligence applications;
computer programming; design, updating and maintenance of
computer software; computer software and hardware design for
others; consultation services in the field of computers,
namely, computer technology consulting; computer services,
namely, technology support services, namely, troubleshooting
in the nature of diagnosing of computer hardware and
computer software problems for a computer that integrates
natural language processing (nlp), computational linguistics
(cl), information retrieval (ir) and machine learning (ml)
which is capable of understanding general human queries and
formulating responses; computer systems analysis,
integration of computer systems and networks, computer
programming for others all for use in commercial
interactions over global computer networks; computer
software and hardware testing services; computer system
analysis services in the nature of providing technical
project studies in the field of computer hardware and
software, namely, computer system analysis studies;
consultancy in the field of computer hardware, namely,
computer technology consultancy regarding computer research
and development; scientific and industrial research, namely,
research and development of new products, biological
research, computer technology consulting services, namely,
technical research in the field of computer technology that
integrates natural language processing (nlp), computational
linguistics (cl), information retrieval (ir) and machine
learning (ml) which is capable of understanding general
human queries and formulating responses, and scientific
research for medical purpose; computer systems integration
services; computer consultation services, namely, computer
technology consulting services; consulting services in the
field of design, selection, implementation and use of
computer hardware and software systems for others; computer
systems design services for others; interconnection of
computer hardware and software, namely, integration of
computer systems and networks; computer software and
hardware testing services, namely, testing of computer
software, computers and servers; installation, updating and
maintenance of computer software; computer programming for
others; all of the above relating specifically to cognitive
computing technologies that provide multi-modal natural
language processing, generation, reasoning and machine
learning for contextual analysis and natural interaction.
09 - Appareils et instruments scientifiques et électriques
35 - Publicité; Affaires commerciales
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
(1) Downloadable software featuring software for use in the design and development of artificial intelligence applications; computer software for the controlling of artificial intelligence applications in the field of cognitive computing technologies that provide multi-modal natural language processing, reasoning, and machine learning for contextual analysis and natural interaction; computer software for use in controlling the operation and execution of computer systems, programs, and networks; computer software for use in connecting disparate computer networks and systems, servers and storage devices; computer operating system software; computer software for linking together computers and for enabling computing across a globally accessible network; computer software for managing and operating computer hardware, computer software and processes that exist within an information technology infrastructure in the field of business management environment, namely, workflow automation and knowledge management, and instructional manuals sold as a unit therewith; all of the above in the field of cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction (1) Business management consultancy; business information services in the field of augmented intelligence solutions for enterprises to improve workflows, efficiency, knowledge management, and decision making; business management consulting services and business management and consulting services relating to a computer that integrates Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; business strategy development services; data processing services and cloud-based business services, namely, business management consultation services via cloud computing networks; arranging and conducting trade show exhibitions in the field of computers, computer services, information technology, namely, computer systems software and computer hardware configuration and electronic business transactions via a global computer network, and a computer that integrates Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; all of the above in the field of cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction
(2) Software as a service (SAAS) services, namely, software for use by others for design and development of artificial intelligence applications; software as a service (SAAS) services, namely, software for use by others for the controlling of artificial intelligence applications in the field of cognitive computing technologies that provide multi-modal natural language processing, reasoning, and machine learning for contextual analysis and natural interaction; design and development of computer software for artificial intelligence applications; computer programming; design, updating and maintenance of computer software; computer software and hardware design for others; consultation services in the field of computers, namely, computer technology consulting; computer services, namely, technology support services, namely, troubleshooting in the nature of diagnosing of computer hardware and computer software problems for a computer that integrates Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; computer systems analysis, integration of computer systems and networks, computer programming for others all for use in commercial interactions over global computer networks; computer software and hardware testing services; computer system analysis services in the nature of providing technical project studies in the field of computer hardware and software, namely, computer system analysis studies; consultancy in the field of computer hardware, namely, computer technology consultancy regarding computer research and development; scientific and industrial research, namely, research and development of new products, biological research, computer technology consulting services, namely, technical research in the field of computer technology that integrates Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses, and scientific research for medical purpose; computer systems integration services; computer consultation services, namely, computer software consulting services; technology consulting services in the field of design, selection, implementation and use of computer hardware and software systems for others; computer systems design services for others; interconnection of computer hardware and software, namely, integration of computer systems and networks; computer software and hardware testing services, namely, testing of computer software, computers and servers; installation, updating and maintenance of computer software; computer programming for others; all of the above in the field of cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction
42 - Services scientifiques, technologiques et industriels, recherche et conception
Produits et services
Software as a service (SAAS) services, namely, software for use by others for design and development of artificial intelligence applications; software as a service (SAAS) services, namely, software for use by others for artificial intelligence applications; design and development of computer software for artificial intelligence applications; design, updating and maintenance of computer software; computer software and hardware design for others; computer systems integration services; installation, updating and maintenance of computer software; all of the above relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction
09 - Appareils et instruments scientifiques et électriques
Produits et services
downloadable software featuring software for use in the design and development of artificial intelligence applications; computer software for artificial intelligence applications; all of the above relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction
business management and consultancy; business information services; business management consulting services and business management and consulting services relating to a computer that integrates Natural Language Processing (NLP), Computational Linguistics (CL), Information Retrieval (IR) and Machine Learning (ML) which is capable of understanding general human queries and formulating responses; business development services; data processing services and cloud-based business services, namely, business consultation services via cloud computing networks; all of the above relating specifically to cognitive computing technologies that provide multi-modal natural language processing, generation, reasoning and machine learning for contextual analysis and natural interaction
40.
Methods and apparatus for displaying simulated digital content
Systems, methods, and devices for displaying digital content. In one embodiment, a method of simulating digital content includes providing information corresponding to a plurality of pixels of displayable content at an electronic device; and simulating the displayable content at the electronic device by displaying a representation of a first subset of the plurality of pixels during a first time period and displaying a representation of a second subset of the plurality of pixels during a second time period.
