Patents by Inventor Andrew Leighton Edelsten

Andrew Leighton Edelsten 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: 20240104690
    Abstract: Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to indicate frame size information using one or more neural networks.
    Type: Application
    Filed: February 7, 2023
    Publication date: March 28, 2024
    Inventors: Robert Thomas Pottorff, Karan Sapra, Andrew Leighton Edelsten
  • Publication number: 20240104689
    Abstract: Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to enable frame interpolation to use one or more neural networks.
    Type: Application
    Filed: February 7, 2023
    Publication date: March 28, 2024
    Inventors: Robert Thomas Pottorff, Karan Sapra, Andrew Leighton Edelsten
  • Publication number: 20240104692
    Abstract: Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to indicate support to use one or more neural networks to perform frame interpolation.
    Type: Application
    Filed: February 7, 2023
    Publication date: March 28, 2024
    Inventors: Robert Thomas Pottorff, Karan Sapra, Andrew Leighton Edelsten
  • Publication number: 20240095881
    Abstract: Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to disable frame interpolation to use one or more neural networks.
    Type: Application
    Filed: February 7, 2023
    Publication date: March 21, 2024
    Inventors: Robert Thomas Pottorff, Karan Sapra, Andrew Leighton Edelsten
  • Publication number: 20240095097
    Abstract: Apparatuses, systems, and techniques to process image frames. In at least one embodiment, an application programming interface (API) is performed to cause frame interpolation to be performed using one or more neural networks.
    Type: Application
    Filed: February 7, 2023
    Publication date: March 21, 2024
    Inventors: Robert Thomas Pottorff, Karan Sapra, Andrew Leighton Edelsten
  • Patent number: 11163859
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: November 2, 2021
    Assignee: NVIDIA Corporation
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Publication number: 20210287096
    Abstract: The disclosed microtraining techniques improve accuracy of trained neural networks by performing iterative refinement at low learning rates using a relatively short series microtraining steps. A neural network training framework receives the trained neural network along with a second training dataset and set of hyperparameters. The neural network training framework produces a microtrained neural network by adjusting one or more weights of the trained neural network using a lower learning rate to facilitate incremental accuracy improvements without substantially altering the computational structure of the trained neural network. The microtrained neural network may be assessed for changes in accuracy and/or quality. Additional microtraining sessions may be performed on the microtrained neural network to further improve accuracy or quality.
    Type: Application
    Filed: March 13, 2020
    Publication date: September 16, 2021
    Inventors: Anjul Patney, Brandon Lee Rowlett, Yinghao Xu, Andrew Leighton Edelsten, Aaron Eliot Lefohn
  • Publication number: 20170235930
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Application
    Filed: November 8, 2016
    Publication date: August 17, 2017
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Patent number: 9489541
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Grant
    Filed: April 27, 2012
    Date of Patent: November 8, 2016
    Assignee: NVIDIA CORPORATION
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy
  • Publication number: 20130067240
    Abstract: A computer system comprising a processor and a memory for storing instructions, that when executed by the processor performs a copy protection method. The copy protection method comprises executing a software loop of a first software application in a first operating system. A first call is executed in the software loop to a code portion. A decrypted code portion of the first software application is executed in a second operating system in response to the first call. The code portion is decrypted in response to a successful validation of the first software application.
    Type: Application
    Filed: April 27, 2012
    Publication date: March 14, 2013
    Applicant: NVIDIA CORPORATION
    Inventors: Anthony Michael Tamasi, Timothy Paul Lottes, Bojan Skaljak, Fedor Fomichev, Andrew Leighton Edelsten, Jay Huang, Ashutosh Gajanan Rege, Keith Brian Galocy