Patents by Inventor Krzysztof Chalupka

Krzysztof Chalupka 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).

  • Patent number: 11501210
    Abstract: A request associated with reviewing content for a field of interest is received. A confidence is determined associated with the content including the field of interest. A machine learning (ML) model determines a first confidence associated with the content includes the field of interest. The field of interest is transmitted for review in instances where the first confidence is less than a confidence threshold. After review, an indication associated with a reviewer reviewing the content and the first confidence associated with the ML model identifying the field of interest is updated to a second confidence.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: November 15, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Fedor Zhdanov, Siddharth Vivek Joshi, Prateek Sharma, Alisa V. Shinkorenko, Warren Barkley, Stefano Stefani, Krzysztof Chalupka, Pietro Perona
  • Publication number: 20220108185
    Abstract: Machine-learned networks provide generative design. Rather than emulate the typical human design process, an inverse model is machine trained to generate a design from requirements. A simulation model is machine trained to recover performance relative to the requirements for generated designs. These two machine-trained models are used in an optimization that creates further designs from the inverse model output design and tests those designs with the simulation model. The use of machine-trained models in this loop for exploring many different designs decreases the time to explore, so may result in a more optimal design or better starting designs for the design engineer.
    Type: Application
    Filed: March 22, 2019
    Publication date: April 7, 2022
    Inventors: Janani Venugopalan, Sanjeev Srivastava, Krzysztof Chalupka, Marcin Staniszewski, Frederic Villeneuve, Edward Slavin, III
  • Publication number: 20210004735
    Abstract: A method, and corresponding systems and computer-readable mediums, for implementing a hierarchical multi-agent control system for an environment. A method includes generating an observation of an environment by a first agent process and sending a first message that includes the observation to a meta-agent process. The method includes receiving a second message that includes a goal, by the first agent process and from the meta-agent process. The method includes evaluating a plurality of actions, by the first agent process and based on the goal, to determine a selected action. The method includes applying the selected action to the environment by the first agent process.
    Type: Application
    Filed: March 20, 2019
    Publication date: January 7, 2021
    Inventors: Krzysztof Chalupka, Sanjeev Srivastava