Patents by Inventor Adam Anthony

Adam Anthony 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: 20250093970
    Abstract: A computer-implemented method for controlling a particular computer to execute a task is described. The method includes receiving a control input comprising a visual input, the visual input including one or more screen frames of a computer display that represent at least a current state of the particular computer; processing the control input using a neural network to generate one or more control outputs that are used to control the particular computer to execute the task, in which the one or more control outputs include an action type output that specifies at least one of a pointing device action or a keyboard action to be performed to control the particular computer; determining one or more actions from the one or more control outputs; and executing the one or more actions to control the particular computer.
    Type: Application
    Filed: December 4, 2024
    Publication date: March 20, 2025
    Inventors: Peter Conway Humphreys, Timothy Paul Lillicrap, Tobias Markus Pohlen, Adam Anthony Santoro
  • Patent number: 12189870
    Abstract: A computer-implemented method for controlling a particular computer to execute a task is described. The method includes receiving a control input comprising a visual input, the visual input including one or more screen frames of a computer display that represent at least a current state of the particular computer; processing the control input using a neural network to generate one or more control outputs that are used to control the particular computer to execute the task, in which the one or more control outputs include an action type output that specifies at least one of a pointing device action or a keyboard action to be performed to control the particular computer; determining one or more actions from the one or more control outputs; and executing the one or more actions to control the particular computer.
    Type: Grant
    Filed: January 30, 2023
    Date of Patent: January 7, 2025
    Assignee: Deep Mind Technologies Limited
    Inventors: Peter Conway Humphreys, Timothy Paul Lillicrap, Tobias Markus Pohlen, Adam Anthony Santoro
  • Publication number: 20240301816
    Abstract: An electrolysis system may include a pressure-resistant assembly. The pressure-resistant assembly may include a first defined space configured to at least partially immerse a plurality of electrolysis plates in an aqueous solution. The pressure-resistant assembly may further include a second defined space configured to contain an enhancement gas or a component of the enhancement gas. The enhancement gas or the component of the enhancement gas may be generated in the first defined space. A volume of the second defined space may be in the range of 80-120% of a volume of the first defined space.
    Type: Application
    Filed: May 18, 2024
    Publication date: September 12, 2024
    Inventors: Evan Charles Johnson, Adam Anthony Filkins, Hebert Daniel Deming, Henry White Dean, Phillip Edward Jennings
  • Patent number: 11977967
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating sequences of predicted observations, for example images. In one aspect, a system comprises a controller recurrent neural network, and a decoder neural network to process a set of latent variables to generate an observation. An external memory and a memory interface subsystem is configured to, for each of a plurality of time steps, receive an updated hidden state from the controller, generate a memory context vector by reading data from the external memory using the updated hidden state, determine a set of latent variables from the memory context vector, generate a predicted observation by providing the set of latent variables to the decoder neural network, write data to the external memory using the latent variables, the updated hidden state, or both, and generate a controller input for a subsequent time step from the latent variables.
    Type: Grant
    Filed: December 7, 2020
    Date of Patent: May 7, 2024
    Assignee: DeepMind Technologies Limited
    Inventors: Gregory Duncan Wayne, Chia-Chun Hung, Mevlana Celaleddin Gemici, Adam Anthony Santoro
  • Publication number: 20240077016
    Abstract: An HHO gas second fuel is produced in a pressure-resistant container and distributed at a low volumetric rate at multiple locations about the internal combustion engine.
    Type: Application
    Filed: November 11, 2023
    Publication date: March 7, 2024
    Inventors: Evan Charles Johnson, Adam Anthony Filkins, Herbert Daniel Deming, Henry White Dean, Phillip Edward Jennings
  • Publication number: 20240020972
    Abstract: A video processing system configured to analyze a sequence of video frames to detect objects in the video frames and provide information relating to the detected objects in response to a query. The query may comprise, for example, a request for a prediction of a future event, or of the location of an object, or a request for a prediction of what would happen if an object were modified. The system uses a transformer neural network subsystem to process representations of objects in the video.
    Type: Application
    Filed: October 1, 2021
    Publication date: January 18, 2024
    Inventors: Fengning Ding, Adam Anthony Santoro, Felix George Hill, Matthew Botvinick, Luis Piloto
  • Patent number: 11836596
    Abstract: A system including one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to implement a memory and memory-based neural network is described. The memory is configured to store a respective memory vector at each of a plurality of memory locations in the memory. The memory-based neural network is configured to: at each of a plurality of time steps: receive an input; determine an update to the memory, wherein determining the update comprising applying an attention mechanism over the memory vectors in the memory and the received input; update the memory using the determined update to the memory; and generate an output for the current time step using the updated memory.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: December 5, 2023
    Assignee: DeepMind Technologies Limited
    Inventors: Mike Chrzanowski, Jack William Rae, Ryan Faulkner, Theophane Guillaume Weber, David Nunes Raposo, Adam Anthony Santoro
  • Patent number: 11815011
    Abstract: An HHO gas second fuel is produced in a pressure-resistant container and distributed at a low volumetric rate at multiple locations about the internal combustion engine.
    Type: Grant
    Filed: January 21, 2022
    Date of Patent: November 14, 2023
    Assignee: HyTech Power, LLC
    Inventors: Evan Charles Johnson, Adam Anthony Filkins, Herbert Daniel Deming, Henry White Dean, Phillip Edward Jennings
  • Publication number: 20230244325
    Abstract: A computer-implemented method for controlling a particular computer to execute a task is described. The method includes receiving a control input comprising a visual input, the visual input including one or more screen frames of a computer display that represent at least a current state of the particular computer; processing the control input using a neural network to generate one or more control outputs that are used to control the particular computer to execute the task, in which the one or more control outputs include an action type output that specifies at least one of a pointing device action or a keyboard action to be performed to control the particular computer; determining one or more actions from the one or more control outputs; and executing the one or more actions to control the particular computer.
    Type: Application
    Filed: January 30, 2023
    Publication date: August 3, 2023
    Inventors: Peter Conway Humphreys, Timothy Paul Lillicrap, Tobias Markus Pohlen, Adam Anthony Santoro
  • Publication number: 20230196146
    Abstract: A neural network system is proposed, including an input network for extracting, from state data, respective entity data for each a plurality of entities which are present, or at least potentially present, in the environment. The entity data describes the entity. The neural network contains a relational network for parsing this data, which includes one or more attention blocks which may be stacked to perform successive actions on the entity data. The attention blocks each include a respective transform network for each of the entities. The transform network for each entity is able to transform data which the transform network receives for the entity into modified entity data for the entity, based on data for a plurality of the other entities. An output network is arranged to receive data output by the relational network, and use the received data to select a respective action.
    Type: Application
    Filed: February 13, 2023
    Publication date: June 22, 2023
    Inventors: Yujia Li, Victor Constant Bapst, Vinicius Zambaldi, David Nunes Raposo, Adam Anthony Santoro
  • Publication number: 20230178076
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. In particular, an interactive agent can be controlled based on multi-modal inputs that include both an observation image and a natural language text sequence.
    Type: Application
    Filed: December 7, 2022
    Publication date: June 8, 2023
    Inventors: Joshua Simon Abramson, Arun Ahuja, Federico Javier Carnevale, Petko Ivanov Georgiev, Chia-Chun Hung, Timothy Paul Lillicrap, Alistair Michael Muldal, Adam Anthony Santoro, Tamara Louise von Glehn, Jessica Paige Landon, Gregory Duncan Wayne, Chen Yan, Rui Zhu
  • Publication number: 20230084345
    Abstract: An HHO gas second fuel is produced in a pressure-resistant container and distributed at a low volumetric rate at multiple locations about the internal combustion engine.
    Type: Application
    Filed: January 21, 2022
    Publication date: March 16, 2023
    Inventors: Evan Charles Johnson, Adam Anthony Filkins, Herbert Daniel Deming, Henry White Dean, Phillip Edward Jennings
  • Patent number: 11580429
    Abstract: A neural network system is proposed, including an input network for extracting, from state data, respective entity data for each a plurality of entities which are present, or at least potentially present, in the environment. The entity data describes the entity. The neural network contains a relational network for parsing this data, which includes one or more attention blocks which may be stacked to perform successive actions on the entity data. The attention blocks each include a respective transform network for each of the entities. The transform network for each entity is able to transform data which the transform network receives for the entity into modified entity data for the entity, based on data for a plurality of the other entities. An output network is arranged to receive data output by the relational network, and use the received data to select a respective action.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: February 14, 2023
    Assignee: DeepMind Technologies Limited
    Inventors: Yujia Li, Victor Constant Bapst, Vinicius Zambaldi, David Nunes Raposo, Adam Anthony Santoro
  • Publication number: 20220354983
    Abstract: A germicide system for use in an air duct including a lamp, a lamp housing, and a control unit. The lamp housing is adapted to be positioned in an interior of the air duct and includes a lamp shield and quartz wool carried by the lamp shield. The lamp is carried by the lamp housing. The control unit is adapted to be positioned entirely in an exterior of the air duct and adapted to provide power to the lamp.
    Type: Application
    Filed: May 7, 2021
    Publication date: November 10, 2022
    Applicant: Biozone Scientific Group Limited
    Inventors: Adam Anthony, McKay Howell, John Phillips, Ari Ahola
  • Patent number: 11280261
    Abstract: An HHO gas second fuel is produced in a pressure-resistant container and distributed at a low volumetric rate at multiple locations about the internal combustion engine.
    Type: Grant
    Filed: July 10, 2018
    Date of Patent: March 22, 2022
    Assignee: HyTech Power, Inc.
    Inventors: Evan Charles Johnson, Adam Anthony Filkins, Herbert Daniel Deming, Henry White Dean, Phillip Edward Jennings
  • Publication number: 20210089968
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating sequences of predicted observations, for example images. In one aspect, a system comprises a controller recurrent neural network, and a decoder neural network to process a set of latent variables to generate an observation. An external memory and a memory interface subsystem is configured to, for each of a plurality of time steps, receive an updated hidden state from the controller, generate a memory context vector by reading data from the external memory using the updated hidden state, determine a set of latent variables from the memory context vector, generate a predicted observation by providing the set of latent variables to the decoder neural network, write data to the external memory using the latent variables, the updated hidden state, or both, and generate a controller input for a subsequent time step from the latent variables.
    Type: Application
    Filed: December 7, 2020
    Publication date: March 25, 2021
    Inventors: Gregory Duncan Wayne, Chia-Chun Hung, Mevlana Celaleddin Gemici, Adam Anthony Santoro
  • Publication number: 20210081795
    Abstract: A system including one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to implement a memory and memory-based neural network is described. The memory is configured to store a respective memory vector at each of a plurality of memory locations in the memory. The memory-based neural network is configured to: at each of a plurality of time steps: receive an input; determine an update to the memory, wherein determining the update comprising applying an attention mechanism over the memory vectors in the memory and the received input; update the memory using the determined update to the memory; and generate an output for the current time step using the updated memory.
    Type: Application
    Filed: November 30, 2020
    Publication date: March 18, 2021
    Inventors: Mike Chrzanowski, Jack William Rae, Ryan Faulkner, Theophane Guillaume Weber, David Nunes Raposo, Adam Anthony Santoro
  • Patent number: 10885426
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the systems includes a controller neural network that includes a Least Recently Used Access (LRUA) subsystem configured to: maintain a respective usage weight for each of a plurality of locations in the external memory, and for each of the plurality of time steps: generate a respective reading weight for each location using a read key, read data from the locations in accordance with the reading weights, generate a respective writing weight for each of the locations from a respective reading weight from a preceding time step and the respective usage weight for the location, write a write vector to the locations in accordance with the writing weights, and update the respective usage weight from the respective reading weight and the respective writing weight.
    Type: Grant
    Filed: December 30, 2016
    Date of Patent: January 5, 2021
    Assignee: DeepMind Technologies Limited
    Inventors: Adam Anthony Santoro, Daniel Pieter Wiestra, Timothy Paul Lillicrap, Sergey Bartunov, Ivo Danihelka
  • Patent number: 10872299
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating sequences of predicted observations, for example images. In one aspect, a system comprises a controller recurrent neural network, and a decoder neural network to process a set of latent variables to generate an observation. An external memory and a memory interface subsystem is configured to, for each of a plurality of time steps, receive an updated hidden state from the controller, generate a memory context vector by reading data from the external memory using the updated hidden state, determine a set of latent variables from the memory context vector, generate a predicted observation by providing the set of latent variables to the decoder neural network, write data to the external memory using the latent variables, the updated hidden state, or both, and generate a controller input for a subsequent time step from the latent variables.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: December 22, 2020
    Assignee: DeepMind Technologies Limited
    Inventors: Gregory Duncan Wayne, Chia-Chun Hung, Mevlana Celaleddin Gemici, Adam Anthony Santoro
  • Patent number: 10853725
    Abstract: A system including one or more computers and one or more storage devices storing instructions that when executed by the one or more computers cause the one or more computers to implement a memory and memory-based neural network is described. The memory is configured to store a respective memory vector at each of a plurality of memory locations in the memory. The memory-based neural network is configured to: at each of a plurality of time steps: receive an input; determine an update to the memory, wherein determining the update comprising applying an attention mechanism over the memory vectors in the memory and the received input; update the memory using the determined update to the memory; and generate an output for the current time step using the updated memory.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: December 1, 2020
    Assignee: DeepMind Technologies Limited
    Inventors: Mike Chrzanowski, Jack William Rae, Ryan Faulkner, Theophane Guillaume Weber, David Nunes Raposo, Adam Anthony Santoro