Patents by Inventor Gregor Boronowsky

Gregor Boronowsky 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).

  • Reinforcement learning based correction of timing failures
    Patent number: 12541637
    Abstract: Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a graph comprising nodes and edges that encodes said network of conductors and repowering structures; and receiving a modification recommendation from said reinforcement learning agent in response to inputting said graph into said reinforcement learning agent.
    Type: Grant
    Filed: December 8, 2022
    Date of Patent: February 3, 2026
    Assignee: International Business Machines Corporation
    Inventors: Gregor Boronowsky, Marvin von der Ehe, Manuel Beck, Jan Niklas Stegmaier, Simon Hermann Friedmann
  • REINFORCEMENT LEARNING BASED CORRECTION OF TIMING FAILURES
    Publication number: 20240232503
    Abstract: Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a graph comprising nodes and edges that encodes said network of conductors and repowering structures; and receiving a modification recommendation from said reinforcement learning agent in response to inputting said graph into said reinforcement learning agent.
    Type: Application
    Filed: December 8, 2022
    Publication date: July 11, 2024
    Inventors: Gregor Boronowsky, Marvin von der Ehe, Manuel Beck, Jan Niklas Stegmaier, Simon Hermann Friedmann
  • REINFORCEMENT LEARNING BASED CORRECTION OF TIMING FAILURES
    Publication number: 20240135083
    Abstract: Disclosed herein is a computer implemented method of correcting a timing failure of a network of conductors and repowering structures in an integrated circuit design using a reinforcement learning agent. The reinforcement learning agent comprises a neural network. The method comprises: receiving a graph comprising nodes and edges that encodes said network of conductors and repowering structures; and receiving a modification recommendation from said reinforcement learning agent in response to inputting said graph into said reinforcement learning agent.
    Type: Application
    Filed: December 8, 2022
    Publication date: April 25, 2024
    Inventors: Gregor Boronowsky, Marvin von der Ehe, Manuel Beck, Jan Niklas Stegmaier, Simon Hermann Friedmann