Patents by Inventor Vishaal Prasad

Vishaal Prasad 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).

  • Publication number: 20220414808
    Abstract: Methods, systems, and media for determining and presenting information related to embedded sound recordings are provided.
    Type: Application
    Filed: December 11, 2019
    Publication date: December 29, 2022
    Inventors: Kevin Song Zhu, Thomas Bugnon, Keith Wedelich, George Huang, Jacob Levine, Sha Chang, Julian Bill, Arthur Gaudriot, Nicholas Bryan Johnson, Vishaal Prasad
  • Publication number: 20220415324
    Abstract: Training and/or utilizing a single neural network model to generate, at each of a plurality of assistant turns of a dialog session between a user and an automated assistant, a corresponding automated assistant natural language response and/or a corresponding automated assistant action. For example, at a given assistant turn of a dialog session, both a corresponding natural language response and a corresponding action can be generated jointly and based directly on output generated using the single neural network model. The corresponding response and/or corresponding action can be generated based on processing, using the neural network model, dialog history and a plurality of discrete resources. For example, the neural network model can be used to generate a response and/or action on a token-by-token basis.
    Type: Application
    Filed: August 30, 2022
    Publication date: December 29, 2022
    Inventors: Arvind Neelakantan, Daniel Duckworth, Ben Goodrich, Vishaal Prasad, Chinnadhurai Sankar, Semih Yavuz
  • Patent number: 11475890
    Abstract: Training and/or utilizing a single neural network model to generate, at each of a plurality of assistant turns of a dialog session between a user and an automated assistant, a corresponding automated assistant natural language response and/or a corresponding automated assistant action. For example, at a given assistant turn of a dialog session, both a corresponding natural language response and a corresponding action can be generated jointly and based directly on output generated using the single neural network model. The corresponding response and/or corresponding action can be generated based on processing, using the neural network model, dialog history and a plurality of discrete resources. For example, the neural network model can be used to generate a response and/or action on a token-by-token basis.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: October 18, 2022
    Assignee: GOOGLE LLC
    Inventors: Arvind Neelakantan, Daniel Duckworth, Ben Goodrich, Vishaal Prasad, Chinnadhurai Sankar, Semih Yavuz
  • Patent number: 10898789
    Abstract: A system and method for digitally connecting a network of physical games are disclosed. According to one embodiment, a system comprises a table game having a first goal. A first sensor is inside first the goal. The system has a microcontroller in communication with the first sensor that collects first data. A computing device is in communication with the microcontroller that detects when a ball has entered the first goal.
    Type: Grant
    Filed: April 24, 2018
    Date of Patent: January 26, 2021
    Assignee: THROWMOTION INC.
    Inventors: Aditya Dayal, Alex Hayashi, Vishaal Prasad, Shreerag Jayakrishnan, Maisem J. Ali
  • Publication number: 20200402507
    Abstract: Training and/or utilizing a single neural network model to generate, at each of a plurality of assistant turns of a dialog session between a user and an automated assistant, a corresponding automated assistant natural language response and/or a corresponding automated assistant action. For example, at a given assistant turn of a dialog session, both a corresponding natural language response and a corresponding action can be generated jointly and based directly on output generated using the single neural network model. The corresponding response and/or corresponding action can be generated based on processing, using the neural network model, dialog history and a plurality of discrete resources. For example, the neural network model can be used to generate a response and/or action on a token-by-token basis.
    Type: Application
    Filed: June 24, 2020
    Publication date: December 24, 2020
    Inventors: Arvind Neelakantan, Daniel Duckworth, Ben Goodrich, Vishaal Prasad, Chinnadhurai Sankar, Semih Yavuz
  • Publication number: 20180304146
    Abstract: A system and method for digitally connecting a network of physical games are disclosed. According to one embodiment, a system comprises a table game having a first goal. A first sensor is inside first the goal. The system has a microcontroller in communication with the first sensor that collects first data. A computing device is in communication with the microcontroller that detects when a ball has entered the first goal.
    Type: Application
    Filed: April 24, 2018
    Publication date: October 25, 2018
    Applicant: ThrowMotion, Inc.
    Inventors: Aditya Dayal, Alex Hayashi, Vishaal Prasad, Shreerag Jayakrishnan, Maisem J. Ali