Patents by Inventor Pawel Morkisz

Pawel Morkisz 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).

  • GENERATING NEURAL NETWORKS
    Publication number: 20240119267
    Abstract: Apparatuses, systems, and techniques to selectively use one or more neural network layers. In at least one embodiment, one or more neural network layers are selectively used based on, for example, one or more iteratively increasing neural network performance metrics.
    Type: Application
    Filed: September 21, 2022
    Publication date: April 11, 2024
    Inventors: Slawomir Kierat, Piotr Karpinski, Mateusz Sieniawski, Pawel Morkisz, Szymon Migacz, Linnan Wang, Chen-Han Yu, Satish Salian, Ashwath Aithal, Alexandru Fit-Florea
  • DETECTING AND OPTIMIZING PROGRAM WORKLOAD INEFFICIENCIES AT RUNTIME
    Publication number: 20230418726
    Abstract: Methods and systems for comparing information obtained during execution of a workload to a set of inefficiency patterns, and determining the workload includes a potential inefficiency when the information matches at least one of the set of inefficiency patterns.
    Type: Application
    Filed: June 27, 2022
    Publication date: December 28, 2023
    Inventors: Szymon Migacz, Pawel Morkisz, Alex Fit-Florea, Maciej Bala, Jakub Zakrzewski, Trivikram Krishnamurthy, Nitin Nitin, Sangkug Lym, Shang Wang, Chenhan Yu, Alexandre Milesi