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公开(公告)号：US11687794B2
公开(公告)日：2023-06-27
申请号：US15933017
申请日：2018-03-22
发明人： Vipindeep Vangala , Ankur Hayatnagarkar , Sravanth Venkata Madhu Kurumaddali , Rashi Anand , Nitin Pande , Deepinder Singh Gill
IPC分类号： G06N5/022 , G06F21/62 , G06F16/901 , G06F16/2453 , G06N3/04
CPC分类号： G06N5/022 , G06F16/24539 , G06F16/9024 , G06F21/6209 , G06N3/04
摘要： A graph data structure for an artificial intelligence knowledge base includes a plurality of user-centric facts associated with a user. Each user-centric fact has an application-agnostic data format and includes a subject graph node, an object graph node, and an edge connecting the subject graph node to the object graph node. The graph data structure is designed to accommodate facts from different application-specific data providers using the same application-agnostic data format even when the different application-specific data providers use different native data formats.
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公开(公告)号：US11556865B2
公开(公告)日：2023-01-17
申请号：US16989005
申请日：2020-08-10
IPC分类号： G06F16/951 , G06F3/0483 , G06Q30/06 , G06F40/30 , G06F9/451 , G06Q10/06
摘要： This disclosure provides a system and method for providing intelligently-selected collections of user-centric content in a web browser. When implemented as a method, the method includes maintaining a user-centric graph with a plurality of user-centric facts derived from user interaction with different computer services. The method further includes recognizing different contexts of interest to the user. For each context, a collection of user-centric facts pertaining to the context are recognized in the user-centric graph, such recognition being based on a relationship between user-centric facts in the user-centric graph. The method further includes, for each context, displaying intelligently-selected content based on the collection of user-centric facts.
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3.发明授权公开(公告)号：US11288574B2
公开(公告)日：2022-03-29
申请号：US15299145
申请日：2016-10-20
摘要： Systems and methods for creating and/or using an artificial intelligence memory system that models human memory are provided. The AI memory system creates and/or uses a user centric memory graph. The user centric memory graph implicitly links memory elements of a user utilizing relationships created in space, time, and cognitive dimensions similar to how the human brain stores and recalls different memory elements. The user centric memory graph is used by searching and/or constraining the user centric memory graph based on a determined user context and/or a user query.
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公开(公告)号：US10740704B2
公开(公告)日：2020-08-11
申请号：US16152257
申请日：2018-10-04
IPC分类号： G06Q10/06 , G06F16/951 , G06F3/0483 , G06Q30/06
摘要： This disclosure provides a system and method for providing intelligently-selected collections of user-centric content in a web browser. When implemented as a method, the method includes maintaining a user-centric graph with a plurality of user-centric facts derived from user interaction with different computer services. The method further includes recognizing different contexts of interest to the user. For each context, a collection of user-centric facts pertaining to the context are recognized in the user-centric graph, such recognition being based on a relationship between user-centric facts in the user-centric graph. The method further includes, for each context, displaying intelligently-selected content based on the collection of user-centric facts.
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5.发明申请公开(公告)号：US20180114111A1
公开(公告)日：2018-04-26
申请号：US15299145
申请日：2016-10-20
摘要： Systems and methods for creating and/or using an artificial intelligence memory system that models human memory are provided. The AI memory system creates and/or uses a user centric memory graph. The user centric memory graph implicitly links memory elements of a user utilizing relationships created in space, time, and cognitive dimensions similar to how the human brain stores and recalls different memory elements. The user centric memory graph is used by searching and/or constraining the user centric memory graph based on a determined user context and/or a user query.
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公开(公告)号：US11886748B2
公开(公告)日：2024-01-30
申请号：US17872428
申请日：2022-07-25
发明人： Vipindeep Vangala , Deepinder S. Gill , Snehdip Karandikar , Ananthatejas Raghavan , Nithin Kumar Mara
CPC分类号： G06F3/0659 , G06F3/0611 , G06F3/0673 , G06N5/02 , G06Q10/00
摘要： Systems and methods for contextual memory capture and recall are provided. The contextual memory capture and recall systems and methods help a user create, store, and recall memory information associated with an identified activity. The contextual memory capture and recall systems and methods are capable of identifying user activities where a memory inquiry may be desirable, creating a memory inquiry with a recommended memory action based on the activity, providing the memory inquiry to the user, and automatically linking an accepted memory action, along with any received memory information for the memory action, with the identified activity.
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公开(公告)号：US11593413B2
公开(公告)日：2023-02-28
申请号：US15952054
申请日：2018-04-12
IPC分类号： G06F16/332 , G06N5/022 , G06F16/901
摘要： A computerized personal assistant includes a natural language user interface, a natural language processing machine, an identity machine, and a knowledge-base updating machine. The knowledge-base updating machine is configured to update a user-centric artificial intelligence knowledge base associated with the particular user to include a new or updated user-centric fact based on the computer-readable representation of the user input, wherein the knowledge-base updating machine updates the user-centric artificial intelligence knowledge base via an update protocol useable by a plurality of different computer services.
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公开(公告)号：US11526369B2
公开(公告)日：2022-12-13
申请号：US16826492
申请日：2020-03-23
发明人： Vipindeep Vangala , Swati Valecha , Suryanarayana Shastri , Nitin Pande , Tulasi Menon , Madan Gopal Jhanwar , Nishchay Kumar
IPC分类号： G06F9/451 , G06F16/242 , G06F16/2457 , G06F3/16
摘要： A computerized personal assistant communicatively couples to a computer database including a plurality of available skills for the computerized personal assistant. The computerized personal assistant recognizes a current context of the user. The computerized personal assistant operates a previously-trained machine learning classifier to assess a match confidence for a candidate skill, the match confidence indicating a quality of match between the current context and a reference context previously associated with the candidate skill. The computerized personal assistant executes instructions defining an assistive action associated with the candidate skill responsive to the match confidence exceeding a predefined match confidence threshold. The computerized personal assistant executes the instructions defining a complementary help action associated with the candidate skill responsive to the match confidence not exceeding the predefined match confidence threshold.
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公开(公告)号：US10713601B2
公开(公告)日：2020-07-14
申请号：US15005645
申请日：2016-01-25
发明人： Vipindeep Vangala , Ravikiran Arun Aranke , Nirav Ashwin Kamdar , Kurumaddali Venkata Madhu Sravanth
IPC分类号： G06Q10/00 , G06Q10/06 , G06N20/00 , G06F16/635 , G06N5/02 , G06F16/9537 , G06F16/9535
摘要： Aspects of the technology described herein provide a more efficient user interface by providing suggestions that are tailored to a specific user's interests. The suggestions may be provided by a personal assistant or some other application running on a user's computing device. A goal of the technology described herein is to provide relevant suggestions when the user can and actually wants to use them. The suggestions are designed to provide information or services the user wants to use.
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公开(公告)号：US10374996B2
公开(公告)日：2019-08-06
申请号：US15220917
申请日：2016-07-27
发明人： Govind Saoji , Vipindeep Vangala , Deepinder Gill
摘要： In non-limiting examples of the present disclosure, systems, methods and devices for providing contextualized SMS data from one or more SMS messages to a client are presented. SMS data from SMS messages may be filtered and relevant information from the filtered SMS data may be extracted. The extracted information from the SMS data may be categorized into one or more contextual categories in a tiered contextual content hierarchy. The categorization of the SMS data may include analyzing world knowledge related to the extracted information and associating searchable context metadata with the categorized information. An indication to provide feedback related to the SMS data may be received and feedback related to the received SMS data may then be provided to the client.
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