Patents by Inventor Rasmus Munk Larsen

Rasmus Munk Larsen 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).

  • DEVICE PLACEMENT OPTIMIZATION WITH REINFORCEMENT LEARNING
    Publication number: 20240062062
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.
    Type: Application
    Filed: October 3, 2023
    Publication date: February 22, 2024
    Inventors: Samuel Bengio, Mohammad Norouzi, Benoit Steiner, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le, Naveen Kumar, Yuefeng Zhou, Rasmus Munk Larsen
  • Device placement optimization with reinforcement learning
    Patent number: 11803747
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.
    Type: Grant
    Filed: May 20, 2020
    Date of Patent: October 31, 2023
    Assignee: Google LLC
    Inventors: Samuel Bengio, Mohammad Norouzi, Benoit Steiner, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le, Naveen Kumar, Yuefeng Zhou, Rasmus Munk Larsen
  • Orientation-based device interface
    Patent number: 10897680
    Abstract: The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at an audio device having one or more processors, memory, and a plurality of device interface elements, including one or more speakers and a plurality of microphones. The method includes: (1) detecting a change in orientation of the audio device from a first orientation to a second orientation; and (2) in response to detecting the change in orientation, configuring operation of two or more of the plurality of device interface elements.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: January 19, 2021
    Assignee: GOOGLE LLC
    Inventors: Justin Wodrich, Rolando Esparza Palacios, Nicholas Matarese, Michael B. Montvelishsky, Rasmus Munk Larsen, Benjamin Louis Shaya, Che-Yu Kuo, Michael Smedegaard, Richard F. Lyon, Gabriel Fisher Slotnick, Kristen Mangum
  • DEVICE PLACEMENT OPTIMIZATION WITH REINFORCEMENT LEARNING
    Publication number: 20200279163
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.
    Type: Application
    Filed: May 20, 2020
    Publication date: September 3, 2020
    Inventors: Samuel Bengio, Mohammad Norouzi, Benoit Steiner, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le, Naveen Kumar, Yuefeng Zhou, Rasmus Munk Larsen
  • Methods and systems for automatically equalizing audio output based on room characteristics
    Patent number: 10734963
    Abstract: The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at a computing system that includes speaker(s), microphones, processors and memory. The computing system outputs audio user content and automatically equalizes the audio output of the computing system. The equalizing includes: (1) receiving the outputted audio content at each microphone of the plurality of microphones; (2) based on the received audio content, determining an acoustic transfer function for the room; (3) based on the determined acoustic transfer function, obtaining a frequency response for the room; and (4) adjusting one or more properties of the speakers based on the determined frequency response.
    Type: Grant
    Filed: August 8, 2018
    Date of Patent: August 4, 2020
    Assignee: GOOGLE LLC
    Inventors: Benjamin Louis Shaya, Rasmus Munk Larsen, Richard F Lyon, Michael Smedegaard
  • Device placement optimization with reinforcement learning
    Patent number: 10692003
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.
    Type: Grant
    Filed: June 19, 2019
    Date of Patent: June 23, 2020
    Assignee: Google LLC
    Inventors: Samuel Bengio, Mohammad Norouzi, Benoit Steiner, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le, Naveen Kumar, Yuefeng Zhou, Rasmus Munk Larsen
  • DEVICE PLACEMENT OPTIMIZATION WITH REINFORCEMENT LEARNING
    Publication number: 20190303761
    Abstract: A method for determining a placement for machine learning model operations across multiple hardware devices is described.
    Type: Application
    Filed: June 19, 2019
    Publication date: October 3, 2019
    Inventors: Samy Bengio, Mohammad Edward Norouzi, Benoit Steiner, Jeffrey Adgate Dean, Hieu Hy Pham, Azalia Mirhoseini, Quoc V. Le, Naveen Kumar, Yuefeng Zhou, Rasmus Munk Larsen
  • ORIENTATION-BASED DEVICE INTERFACE
    Publication number: 20190104373
    Abstract: The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at an audio device having one or more processors, memory, and a plurality of device interface elements, including one or more speakers and a plurality of microphones. The method includes: (1) detecting a change in orientation of the audio device from a first orientation to a second orientation; and (2) in response to detecting the change in orientation, configuring operation of two or more of the plurality of device interface elements.
    Type: Application
    Filed: September 21, 2018
    Publication date: April 4, 2019
    Inventors: Justin Wodrich, Rolando Esparza Palacios, Nicholas Matarese, Michael B. Montvelishsky, Rasmus Munk Larsen, Benjamin Louis Shaya, Che-Yu Kuo, Michael Smedegaard, Richard F. Lyon, Gabriel Fisher Slotnick, Kristen Mangum
  • Methods and Systems for Automatically Equalizing Audio Output based on Room Characteristics
    Publication number: 20190103848
    Abstract: The various implementations described herein include methods, devices, and systems for automatic audio equalization. In one aspect, a method is performed at a computing system that includes speaker(s), microphones, processors and memory. The computing system outputs audio user content and automatically equalizes the audio output of the computing system. The equalizing includes: (1) receiving the outputted audio content at each microphone of the plurality of microphones; (2) based on the received audio content, determining an acoustic transfer function for the room; (3) based on the determined acoustic transfer function, obtaining a frequency response for the room; and (4) adjusting one or more properties of the speakers based on the determined frequency response.
    Type: Application
    Filed: August 8, 2018
    Publication date: April 4, 2019
    Inventors: Benjamin Louis Shaya, Rasmus Munk Larsen, Richard F. Lyon, Michael Smedegaard