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公开(公告)号:US20190102827A1
公开(公告)日:2019-04-04
申请号:US15721069
申请日:2017-09-29
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
IPC: G06Q30/06
Abstract: Techniques for improving a customer experience include presenting a selectable component to a user through a graphical user interface of a computing device that is communicably coupled to a server system through a network, the selectable component particularly associated with the user, the server system associated with a vendor and including a plurality of vendor product descriptions; receiving an activation of the selectable component from the user; based on the activation, identifying a plurality of profile data associated with the user; culling the plurality of vendor product descriptions to generate, based on the plurality of profile data, a subset of vendor product descriptions from the plurality of vendor product descriptions; and presenting the subset of vendor product descriptions to the user through the graphical user interface.
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公开(公告)号:US11292212B2
公开(公告)日:2022-04-05
申请号:US16157750
申请日:2018-10-11
Applicant: X Development LLC
Inventor: Nicholas John Foster , Matthew David Day
Abstract: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for performing hybrid additive manufacturing. In some implementations, a hybrid additive manufacturing system causes a three-dimensional printer to print a sheet of material that includes printed features on one side of the sheet, each printed feature having a structural characteristic that is different from structural characteristics of a majority of the sheet. The system causes a molding machine to form the sheet using a mold, where at least one printed feature corresponds with an area of the mold at which the sheet deforms while being formed.
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公开(公告)号:US20200250879A1
公开(公告)日:2020-08-06
申请号:US16267582
申请日:2019-02-05
Applicant: X Development LLC
Inventor: Nicholas John Foster , Matthew Sibigtroth
Abstract: Techniques are provided to estimate of location or position of objects that are depicted in an image of a scene. Some implementations include obtaining an image of a scene; identifying an object within the image of the scene; obtaining a three-dimensional model that corresponds to the object that was identified within the image of the scene, the three-dimensional model being obtained from the database of three-dimensional models; determining, based on data from the three-dimensional model, an estimated depth of the object within the scene; generating or updating a three-dimensional representation of the scene based at least on the estimated depth of the object within the scene; and providing the three-dimensional representation of the scene, including at least a portion of the three-dimensional representation of the scene that was generated or updated based on the three-dimensional model of the object, to the scene analyzer.
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公开(公告)号:US11593865B2
公开(公告)日:2023-02-28
申请号:US15721069
申请日:2017-09-29
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
IPC: G06Q30/00 , G06Q30/0601
Abstract: Techniques for improving a customer experience include presenting a selectable component to a user through a graphical user interface of a computing device that is communicably coupled to a server system through a network, the selectable component particularly associated with the user, the server system associated with a vendor and including a plurality of vendor product descriptions; receiving an activation of the selectable component from the user; based on the activation, identifying a plurality of profile data associated with the user; culling the plurality of vendor product descriptions to generate, based on the plurality of profile data, a subset of vendor product descriptions from the plurality of vendor product descriptions; and presenting the subset of vendor product descriptions to the user through the graphical user interface.
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公开(公告)号:US20210201180A1
公开(公告)日:2021-07-01
申请号:US17194498
申请日:2021-03-08
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
Abstract: Techniques for generating solutions from aural inputs include identifying, with one or more machine learning engines, a plurality of aural signals provided by two or more human speakers, at least some of the plurality of aural signals associated with a human-perceived problem; parsing, with the one or more machine learning engines, the plurality of aural signals to generate a plurality of terms, each of the terms associated with the human-perceived problem; deriving, with the one or more machine learning engines, a plurality of solution sentiments and a plurality of solution constraints from the plurality of terms; generating, with the one or more machine learning engines, at least one solution to the human-perceived problem based on the derived solution sentiments and solution constraints; and presenting the at least one solution of the human-perceived problem to the two or more human speakers through at least one of a graphical interface or an auditory interface.
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公开(公告)号:US20200184196A1
公开(公告)日:2020-06-11
申请号:US16216558
申请日:2018-12-11
Applicant: X Development LLC
Inventor: Nicholas John Foster , Matthew Sibigtroth
Abstract: Implementations of the present disclosure provide techniques for providing a presentation of the objects that are depicted in an image of a scene, where the presentation improves perceiving the object within the scene. Some implementations include obtaining an image of a scene; identifying an object within the image of the scene; obtaining a particular three-dimensional model that corresponds to the object; generating or updating a three-dimensional representation of the scene based at least on the particular three-dimensional model of the object; and providing at least a portion of the three-dimensional representation of the scene that was generated or updated based on the three-dimensional model of the object to a scene analyzer. The three-dimensional representation of the scene can include data indicating an attribute of the object that is not visible or is not directly derived from the image of the scene.
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公开(公告)号:US20220227073A1
公开(公告)日:2022-07-21
申请号:US17683896
申请日:2022-03-01
Applicant: X Development LLC
Inventor: Nicholas John Foster , Matthew David Day
Abstract: Methods, systems, and apparatus, including computer programs stored on a computer-readable storage medium, for performing hybrid additive manufacturing. In some implementations, a hybrid additive manufacturing system causes a three-dimensional printer to print a sheet of material that includes printed features on one side of the sheet, each printed feature having a structural characteristic that is different from structural characteristics of a majority of the sheet. The system causes a molding machine to form the sheet using a mold, where at least one printed feature corresponds with an area of the mold at which the sheet deforms while being formed.
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公开(公告)号:US10963801B2
公开(公告)日:2021-03-30
申请号:US15721107
申请日:2017-09-29
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
IPC: G10L15/22 , G06N5/04 , G10L15/18 , G06N20/00 , G06N3/04 , G06N3/08 , G06F40/30 , G06F40/284 , G06N5/00
Abstract: Techniques for generating solutions from aural inputs include identifying, with one or more machine learning engines, a plurality of aural signals provided by two or more human speakers, at least some of the plurality of aural signals associated with a human-perceived problem; parsing, with the one or more machine learning engines, the plurality of aural signals to generate a plurality of terms, each of the terms associated with the human-perceived problem; deriving, with the one or more machine learning engines, a plurality of solution sentiments and a plurality of solution constraints from the plurality of terms; generating, with the one or more machine learning engines, at least one solution to the human-perceived problem based on the derived solution sentiments and solution constraints; and presenting the at least one solution of the human-perceived problem to the two or more human speakers through at least one of a graphical interface or an auditory interface.
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公开(公告)号:US20190102685A1
公开(公告)日:2019-04-04
申请号:US15721107
申请日:2017-09-29
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
Abstract: Techniques for generating solutions from aural inputs include identifying, with one or more machine learning engines, a plurality of aural signals provided by two or more human speakers, at least some of the plurality of aural signals associated with a human-perceived problem; parsing, with the one or more machine learning engines, the plurality of aural signals to generate a plurality of terms, each of the terms associated with the human-perceived problem; deriving, with the one or more machine learning engines, a plurality of solution sentiments and a plurality of solution constraints from the plurality of terms; generating, with the one or more machine learning engines, at least one solution to the human-perceived problem based on the derived solution sentiments and solution constraints; and presenting the at least one solution of the human-perceived problem to the two or more human speakers through at least one of a graphical interface or an auditory interface.
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公开(公告)号:US11475333B2
公开(公告)日:2022-10-18
申请号:US17194498
申请日:2021-03-08
Applicant: X Development LLC
Inventor: Nicholas John Foster , Carsten Schwesig
IPC: G10L15/22 , G06N5/04 , G10L15/18 , G06N20/00 , G06N3/04 , G06N3/08 , G06F40/30 , G06F40/284 , G06N5/00
Abstract: Techniques for generating solutions from aural inputs include identifying, with one or more machine learning engines, a plurality of aural signals provided by two or more human speakers, at least some of the plurality of aural signals associated with a human-perceived problem; parsing, with the one or more machine learning engines, the plurality of aural signals to generate a plurality of terms, each of the terms associated with the human-perceived problem; deriving, with the one or more machine learning engines, a plurality of solution sentiments and a plurality of solution constraints from the plurality of terms; generating, with the one or more machine learning engines, at least one solution to the human-perceived problem based on the derived solution sentiments and solution constraints; and presenting the at least one solution of the human-perceived problem to the two or more human speakers through at least one of a graphical interface or an auditory interface.
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