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公开(公告)号:US12254785B2
公开(公告)日:2025-03-18
申请号:US17969303
申请日:2022-10-19
Applicant: Google LLC
Inventor: Jessica Lee , David Trotter Oleson , Fabian Roth , Nils Grimsmo
IPC: G09B7/04 , G06F3/04845 , G06F40/205 , G06T11/60 , G06V10/94 , G06V20/70 , G06V30/12 , G06V30/19
Abstract: Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.
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公开(公告)号:US20240152546A1
公开(公告)日:2024-05-09
申请号:US18502688
申请日:2023-11-06
Applicant: Google LLC
Inventor: David Trotter Oleson , Sofie Hauge Katan , Nils Grimsmo , Mailys Claire Gabrielle Robin , Federico Tombari
IPC: G06F16/532 , G06F16/953
CPC classification number: G06F16/532 , G06F16/953
Abstract: Methods and systems for returning search results based on diagrams as search inputs are disclosed herein. One method can include receiving a search request from a user, the search request including an image that depicts a diagram with at least one associated question, and processing the search request using a diagram parsing model to obtain a formal language representation of the diagram. The method can also include providing the formal language representation of the diagram to a search engine as a search query, and receiving, as a search result to the search query, at least one solution to the at least one associated question of the diagram.
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公开(公告)号:US20250054405A1
公开(公告)日:2025-02-13
申请号:US18446125
申请日:2023-08-08
Applicant: Google LLC
Inventor: Jessica Lee , Kimiya Hojjat , David Trotter Oleson , Daniel Valcarce Silva , Andrea D'olimpio , Urs Christian Lukas Dönni , Christopher Rohrs , Kuba Dolecki , Balint Miklos , Federico Chialvo , Lisa Wang , Jieru Hu , Ryan Muller , Chris Heather , Sara Wiltberger , Saurabh Paliwal , Viacheslav Kuznetsov , Gleb Makarchuk , Philipp Neubeck , Ivan Jurin
IPC: G09B7/02 , G06F16/9535 , G06F16/9538 , G06F40/40
Abstract: The present disclosure provides computer-implemented methods, systems, and devices for generating multistep explanations for pedagogical exercises. A computing device receives a query from a user. The computing device determines that the query includes query data describing a pedagogical exercise to be solved. The computing device provides the query data as input to an explanatory machine-learned model. The computing device receives, as output from the explanatory machine-learned model, a pedagogical response, the pedagogical response including a multi-step explanation of a solution to the pedagogical exercise. The computing device provides the pedagogical response for display to a user.
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公开(公告)号:US20240233569A9
公开(公告)日:2024-07-11
申请号:US17969303
申请日:2022-10-19
Applicant: Google LLC
Inventor: Jessica Lee , David Trotter Oleson , Fabian Roth , Nils Grimsmo
IPC: G09B7/04 , G06F3/04845 , G06F40/205 , G06T11/60 , G06V10/94 , G06V20/70 , G06V30/12 , G06V30/19
CPC classification number: G09B7/04 , G06F3/04845 , G06F40/205 , G06T11/60 , G06V10/945 , G06V20/70 , G06V30/127 , G06V30/19133 , G06V30/19147
Abstract: Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.
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公开(公告)号:US20240135835A1
公开(公告)日:2024-04-25
申请号:US17969303
申请日:2022-10-18
Applicant: Google LLC
Inventor: Jessica Lee , David Trotter Oleson , Fabian Roth , Nils Grimsmo
IPC: G09B7/04 , G06F3/04845 , G06F40/205 , G06T11/60 , G06V10/94 , G06V20/70 , G06V30/12 , G06V30/19
CPC classification number: G09B7/04 , G06F3/04845 , G06F40/205 , G06T11/60 , G06V10/945 , G06V20/70 , G06V30/127 , G06V30/19133 , G06V30/19147
Abstract: Systems and methods for augmented-reality tutoring can utilize optical character recognition, natural language processing, and/or augmented-reality rendering for providing real-time notifications for completing a determined task. The systems and methods can include utilizing one or more machine-learned models trained for quantitative reasoning and can include providing a plurality of different user interface elements at different times.
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