Patents by Inventor Tahi Hollander

Tahi Hollander 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: 11301686
    Abstract: A mechanism is described for facilitating visual anomaly detection without reference in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to select a frame from a sequence of multiple frames associated with a video stream captured by a camera, and dynamically compute a frame confidence score for the frame based on frame training data associated with frame. The one or more processors are further to detect one or more anomalies in the frame when the frame confidence score is less than a frame confidence threshold associated with the frame, where detecting includes dynamically comparing the frame confidence score with the frame confidence threshold through inference using frame field data and the frame training data.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: April 12, 2022
    Assignee: INTEL CORPORATION
    Inventors: Ashwin Muppalla, Sanket Save, Subash Sudireddy, Amitai Armon, Lev Faivishevsky, Moty Fania, Tahi Hollander
  • Patent number: 11199895
    Abstract: In one embodiment, a method receives data regarding processing of a workload by a processor. The data is input into a prediction engine configured to classify the data into a plurality of workload classifications. Each workload classification describes different temporal behavior of the workload. Then, the method outputs a prediction for at least one of the plurality of workload classifications, wherein the prediction is used to control performance of the processor in an upcoming period of time.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: December 14, 2021
    Assignee: Intel Corporation
    Inventors: Patrick Kam-shing Leung, James Hermerding, II, Muhammad Abozaed, Gilad Olswang, Moran Peri, Ido Karavany, William Freelove, Sudheer Nair, Tahi Hollander, Avishai Wagner
  • Publication number: 20190362156
    Abstract: A mechanism is described for facilitating visual anomaly detection without reference in computing environments. An apparatus of embodiments, as described herein, includes one or more processors to select a frame from a sequence of multiple frames associated with a video stream captured by a camera, and dynamically compute a frame confidence score for the frame based on frame training data associated with frame. The one or more processors are further to detect one or more anomalies in the frame when the frame confidence score is less than a frame confidence threshold associated with the frame, where detecting includes dynamically comparing the frame confidence score with the frame confidence threshold through inference using frame field data and the frame training data.
    Type: Application
    Filed: May 21, 2019
    Publication date: November 28, 2019
    Applicant: Intel Corporation
    Inventors: Ashwin Muppala, Sanket Save, Subash Sudireddy, Amitai Armon, Lev Faivishevsky, Moty Fania, Tahi Hollander
  • Publication number: 20190129498
    Abstract: In one embodiment, a method receives data regarding processing of a workload by a processor. The data is input into a prediction engine configured to classify the data into a plurality of workload classifications. Each workload classification describes different temporal behavior of the workload. Then, the method outputs a prediction for at least one of the plurality of workload classifications, wherein the prediction is used to control performance of the processor in an upcoming period of time.
    Type: Application
    Filed: December 27, 2018
    Publication date: May 2, 2019
    Inventors: Patrick Kam-shing Leung, James Hermerding, II, Muhammad Abozaed, Gilad Olswang, Moran Peri, Ido Karavany, William Freelove, Sudheer Nair, Tahi Hollander, Avishai Wagner