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公开(公告)号:EP4390678A1
公开(公告)日:2024-06-26
申请号:EP23212035.2
申请日:2023-11-24
Applicant: Trimble Solutions Corporation
Inventor: HANNILA, Jaana
IPC: G06F9/451 , G06F16/332
CPC classification number: G06F9/453 , G06F16/3329 , G06F16/3322
Abstract: To facilitate use of a vast help content, while a modeling application is running, user interface actions to the modeling application are monitored, at least for an automatic help. When it is detected that consecutive user interface actions fulfill at least one of a plurality of predefined criteria for automatic help, help content is retrieved from online helping information. The online helping information comprises at least helping information of the modeling application and helping information created by a user community. In the retrieving of the help content at least a portion of the consecutive user interface actions are used.
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公开(公告)号:EP4097673B1
公开(公告)日:2024-01-31
申请号:EP21721339.6
申请日:2021-04-06
Inventor: MAYSTER, Yan , BAHNSEN, Robert Bruce , SHUCKER, Brian D.
IPC: G06Q30/02
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公开(公告)号:EP4295355A1
公开(公告)日:2023-12-27
申请号:EP21729721.7
申请日:2021-05-11
Applicant: Google LLC
Inventor: SAINATH, Tara , NARAYANAN, Arun , BOTROS, Rami , HE, Yanzhang , VARIANI, Ehsan , ALLAUZEN, Cyril , RYBACH, David , PANG, Ruoming , STROHMAN, Trevor
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公开(公告)号:EP4295354A1
公开(公告)日:2023-12-27
申请号:EP21839780.0
申请日:2021-12-10
Applicant: Google LLC
Inventor: JIA, Ye , CHUN, Byungha , ZHANG, Yu , SHEN, Jonathan , WU, Yongyong
IPC: G10L13/047
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公开(公告)号:EP4291995A1
公开(公告)日:2023-12-20
申请号:EP22732841.6
申请日:2022-05-31
Applicant: Google LLC
Inventor: SHARIFI, Matthew , CARBUNE, Victor
IPC: G06F16/538
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公开(公告)号:EP4280579A2
公开(公告)日:2023-11-22
申请号:EP23200954.8
申请日:2018-08-09
Applicant: Google LLC
Inventor: ALTHAUS, Jan , SHARIFI, Matthew
IPC: H04M1/724
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing hotword recognition and passive assistance are disclosed. In one aspect, a method includes the actions of receiving, by a computing device that is operating in a low-power mode and that includes a display that displays a graphical interface while the computing device is in the low-power mode and that is configured to exit the low-power mode in response to detecting a first hotword, audio data corresponding to an utterance. The method further includes determining that the audio data includes a second, different hotword. The method further includes obtaining a transcription of the utterance by performing speech recognition on the audio data. The method further includes generating an additional user interface. The method further includes providing, for output on the display, the additional graphical interface.
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公开(公告)号:EP4049270B1
公开(公告)日:2023-10-04
申请号:EP19809965.7
申请日:2019-11-04
Inventor: SNIR, Tal , EIGER, Sivan , AKIVA, Zahi , AMRAM, Gadi Ben , COHEN, Tal , DAHAN, Ran , GOLDSHTEIN, Sasha , MATIAS, Yossi , OGURA, Shoji
IPC: G10L15/26 , G06F40/284 , G06F40/242 , G06F16/68
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公开(公告)号:EP4118641A1
公开(公告)日:2023-01-18
申请号:EP21727634.4
申请日:2021-04-27
Applicant: Google LLC
Inventor: CHEN, Zhehuai , ROSENBERG, Andrew , RAMABHADRAN, Bhuvana , MORENO MENGIBAR, Pedro J.
IPC: G10L13/00
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公开(公告)号:EP4036814A1
公开(公告)日:2022-08-03
申请号:EP22163651.7
申请日:2018-08-20
Applicant: Diveplane Corporation
Inventor: HAZARD, Christopher James
IPC: G06N5/02
Abstract: Techniques for detecting and correcting anomalies in computer-based reasoning systems are provided herein. The techniques include obtaining current context data and determining a contextually-determined action based on the obtained context data and a reasoning model. The reasoning model may have been determined based on multiple sets of training data. The techniques may cause performance of the contextually-determined action and, potentially, receiving an indication that performing the contextually-determined action in the current context resulted in an anomaly. The techniques include determining a portion of the reasoning model that caused the determination of the contextually-determined action based on the obtained context data and causing removal of that portion, to produce a corrected reasoning model. Subsequently, second context data is obtained, a second action is determined based on that data and the corrected reasoning model, and the second contextually-determined action can be performed.
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