Patents by Inventor DANIEL C. STUMPP

DANIEL C. STUMPP 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).

  • NANOSECOND EXECUTION OF MACHINE LEARNING ALGORITHMS AND NANOSECOND ANOMALY DETECTION AND ENCODED DATA TRANSMISSION USING AUTOENCODERS WITH DECISION TREE GRID IN FIELD PROGRAMMABLE GATE ARRAY AND OTHER ELECTRONIC DEVICES
    Publication number: 20240054399
    Abstract: A system for providing a boosted decision tree (BDT) for use on an electronic device to provide an event score based on a user input event, where the device includes: a machine learning trainer configured to create a trained BDT from an untrained BDT by determining parameters for the untrained BDT; a nanosecond optimizer configured to create an optimized BDT, the nanosecond optimizer including at least one of a tree flattener, a tree merger, a score normalizer, a tree remover, and a cut eraser; and a converter coupled to the nanosecond optimizer and configured to receive the optimized BDT from the nanosecond optimizer and convert the optimized BDT to a language for high-level-synthesis to produce a hardware description language representation of the optimized BDT, wherein the hardware description language representation of the optimized BDT is structured and configured to be implemented in firmware provided on the electronic device.
    Type: Application
    Filed: March 3, 2022
    Publication date: February 15, 2024
    Applicant: UNIVERSITY OF PITTSBURGH-OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
    Inventors: TAE MIN HONG, BENJAMIN T. CARLSON, JOERG H. STELZER, STEPHEN T. ROCHE, STEPHEN T. RACZ, DANIEL C. STUMPP, QUINCY BAYER, BRANDON R. EUBANKS