Patents by Inventor Jnyaneshwar Prabhu
Jnyaneshwar Prabhu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240119699Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates a moment of perception of the determined motion.Type: ApplicationFiled: October 11, 2023Publication date: April 11, 2024Inventors: Hessam BAGHERINEZHAD, Carlo Eduardo Cabanero DEL MUNDO, Anish Jnyaneshwar PRABHU, Peter ZATLOUKAL, Lawrence Frederick ARNSTEIN
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Patent number: 11816876Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates detection of the determined motion.Type: GrantFiled: May 3, 2021Date of Patent: November 14, 2023Assignee: Apple Inc.Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero Del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
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Publication number: 20230360137Abstract: A system and method for verifying over a computer network the legitimacy of a participant in communications by authenticating the participant's actual name and address, and in some embodiments also authenticating the participant's ownership of corporate stock. At least one processor is provided that i s configured to verify participant identity by authenticating the participant's actual name and address through any one of several offered alternative means, including from subscription, membership or credit card information, or confirmation of USPS mail delivery. A processor may also be configured to verify stock ownership through whatever records suit the participant, including SEC records, corporate transfer agent records, electronic copies of ownership records or online custodial account records. The independent processes of identity and ownership verification may be coordinated to verify investor status in communications.Type: ApplicationFiled: May 3, 2023Publication date: November 9, 2023Inventors: Jnyaneshwar Prabhu, Gary Lutin
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Patent number: 11676209Abstract: A system and method for verifying over a computer network the legitimacy of a participant in communications by authenticating the participant's actual name and address, and in some embodiments also authenticating the participant's ownership of corporate stock. At least one processor is provided that is configured to verify participant identity by authenticating the participant's actual name and address through any one of several offered alternative means, including from subscription, membership or credit card information, or confirmation of USPS mail delivery. A processor may also be configured to verify stock ownership through whatever records suit the participant, including SEC records, corporate transfer agent records, electronic copies of ownership records or online custodial account records. The independent processes of identity and ownership verification may be coordinated to verify investor status in communications.Type: GrantFiled: October 8, 2019Date of Patent: June 13, 2023Assignee: Broadridge Investor Communication Solutions, Inc.Inventors: Jnyaneshwar Prabhu, Gary Lutin
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Publication number: 20220222550Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.Type: ApplicationFiled: January 24, 2022Publication date: July 14, 2022Inventors: Alexander James Oscar Craver KIRCHHOFF, Ali FARHADI, Anish Jnyaneshwar PRABHU, Carlo Eduardo Cabanero DEL MUNDO, Daniel Carl TORMOEN, Hessam BAGHERINEZHAD, Matthew S. WEAVER, Maxwell Christian HORTON, Mohammad RASTEGARI, Robert Stephen KARL, JR., Sophie LEBRECHT
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Patent number: 11263540Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.Type: GrantFiled: May 6, 2019Date of Patent: March 1, 2022Assignee: APPLE INC.Inventors: Alexander James Oscar Craver Kirchhoff, Ali Farhadi, Anish Jnyaneshwar Prabhu, Carlo Eduardo Cabanero del Mundo, Daniel Carl Tormoen, Hessam Bagherinezhad, Matthew S. Weaver, Maxwell Christian Horton, Mohammad Rastegari, Robert Stephen Karl, Jr., Sophie Lebrecht
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Publication number: 20210272292Abstract: In one embodiment, a method includes receiving an input video comprising a plurality of image frames including an object of interest. Based on the plurality of image frames, a motion associated with the object of interest is determined, and the plurality of image frames are classified using a machine-learning model to identify one of the plurality of image frames that indicates detection of the determined motion.Type: ApplicationFiled: May 3, 2021Publication date: September 2, 2021Inventors: Hessam BAGHERINEZHAD, Carlo Eduardo Cabanero DEL MUNDO, Anish Jnyaneshwar PRABHU, Peter ZATLOUKAL, Lawrence Frederick ARNSTEIN
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Patent number: 10997730Abstract: In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion.Type: GrantFiled: August 21, 2019Date of Patent: May 4, 2021Assignee: Xnor.AI, Inc.Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
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Publication number: 20210056709Abstract: In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion.Type: ApplicationFiled: August 21, 2019Publication date: February 25, 2021Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
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Publication number: 20190340524Abstract: In one embodiment, a method includes providing, to a client system of a user, a user interface for display. The user interface may include a first set of options for selecting an artificial intelligence (AI) task for integrating into a user application, a second set of options for selecting one or more devices on which the user wants to deploy the selected AI task, and a third set of options for selecting one or more performance constraints specific to the selected devices. User specifications may be received based on user selections in the first, second, and third sets of options. A custom AI model may be generated based on the user specifications and sent to the client system of the user for integrating into the user application. The custom AI model once integrated may enable the user application to perform the selected AI task on the selected devices.Type: ApplicationFiled: May 6, 2019Publication date: November 7, 2019Inventors: Alexander James Oscar Craver Kirchhoff, Ali Farhadi, Anish Jnyaneshwar Prabhu, Carlo Eduardo Cabanero del Mundo, Daniel Carl Tormoen, Hessam Bagherinezhad, Matthew S. Weaver, Maxwell Christian Horton, Mohammad Rastegari, Robert Stephen Karl, JR., Sophie Lebrecht