Patents by Inventor Edward Oliver Pyzer-Knapp

Edward Oliver Pyzer-Knapp 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: 11644816
    Abstract: Real-time intervention of an industrial process can include searching for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO). The batch of candidate configurations is transmitted to the industrial process to use in running the industrial process. A result of the run is received from the industrial process. Using the result in the BBO, a next batch of candidate configurations is searched. Whether a stopping criterion is met is determined, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score. Responsive to determining that the stopping criterion is met, searching for the next batch of candidates is terminated.
    Type: Grant
    Filed: October 28, 2020
    Date of Patent: May 9, 2023
    Assignee: International Business Machines Corporation
    Inventors: Edward Oliver Pyzer-Knapp, Clyde Fare
  • Publication number: 20230012699
    Abstract: Systems, computer-implemented methods and/or computer program products that can facilitate providing a defined parameter, determining whether to employ the defined parameter for a variational quantum algorithm, and running the variational quantum algorithm on a quantum system, are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a decision component that determines, based upon an uncertainty prediction regarding the usability of the defined parameter that has been output from a machine learning model, whether to employ the defined parameter in a variational quantum algorithm, such as run on a quantum system.
    Type: Application
    Filed: July 16, 2021
    Publication date: January 19, 2023
    Inventors: Edward Oliver Pyzer-Knapp, Mario Motta, Michael Johnston
  • Publication number: 20220156632
    Abstract: Classifying genetic sequences by receiving genetic sequence data according to sequence features associated with gene expression, determining a genetic sequence feature set, determining a first classification for the genetic sequence feature set according to a machine learning model, defining a causal feature set associated with the first classification for the genetic sequence according to the machine learning model, altering the causal feature set for the genetic sequence, yielding an altered causal feature set, determining a second classification for the altered causal feature set according to the machine learning model, wherein the second classification differs from the first classification, and defining a set of target features, wherein the target features include causal features the altered causal feature set.
    Type: Application
    Filed: November 19, 2020
    Publication date: May 19, 2022
    Inventors: LAURA-JAYNE GARDINER, RITESH VIJAY KRISHNA, ANNA PAOLA CARRIERI, EDWARD OLIVER PYZER-KNAPP
  • Publication number: 20220128972
    Abstract: Real-time intervention of an industrial process can include searching for a batch of candidate configurations for use by the industrial process, the batch of candidate configurations searched for by performing a batch Bayesian optimization (BBO). The batch of candidate configurations is transmitted to the industrial process to use in running the industrial process. A result of the run is received from the industrial process. Using the result in the BBO, a next batch of candidate configurations is searched. Whether a stopping criterion is met is determined, based on the next batch of candidate configurations and by applying a function to a BBO acquisition score. Responsive to determining that the stopping criterion is met, searching for the next batch of candidates is terminated.
    Type: Application
    Filed: October 28, 2020
    Publication date: April 28, 2022
    Inventors: Edward Oliver Pyzer-Knapp, Clyde Fare