Patents by Inventor Jonathon Hare

Jonathon Hare 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).

  • Publication number: 20240028235
    Abstract: Briefly, embodiments, such as methods and/or systems for employing external memory devices in the execution of activation function such as activation functions implemented in a neural network. In one aspect, a first activation input tensor may be partitioned as a plurality of tensor segments stored in one or more external memory devices. Individual stored tensor segments may be sequentially loaded to memories local to processing circuitry to apply activation functions associated with the stored tensor segments.
    Type: Application
    Filed: July 19, 2022
    Publication date: January 25, 2024
    Inventors: Sulaiman Sadiq, Jonathon Hare, Geoffrey Merrett, Partha Prasun Maji, Simon John Craske
  • Patent number: 10586103
    Abstract: Aspects described herein apply machine learning techniques for image recognition and classification to the processing of topographic imagery, in order to permit more accurate and detailed topographic representations of an area to be obtained. In particular, in one embodiment a machine learning system is trained with existing topographic imagery and corresponding topographic data relating to a particular area, so that the machine learning system is then able to relate actual physical topographical features to their topographic representations in existing data. Having been so trained, the machine learning system may then be used to process topographic imagery data of the same area to determine new topographic details thereof for incorporation into the topographic data.
    Type: Grant
    Filed: February 5, 2018
    Date of Patent: March 10, 2020
    Assignee: Ordnance Survey Limited
    Inventors: Isabel Sargent, Jonathon Hare
  • Publication number: 20180225504
    Abstract: Aspects described herein apply machine learning techniques for image recognition and classification to the processing of topographic imagery, in order to permit more accurate and detailed topographic representations of an area to be obtained. In particular, in one embodiment a machine learning system is trained with existing topographic imagery and corresponding topographic data relating to a particular area, so that the machine learning system is then able to relate actual physical topographical features to their topographic representations in existing data. Having been so trained, the machine learning system may then be used to process topographic imagery data of the same area to determine new topographic details thereof for incorporation into the topographic data.
    Type: Application
    Filed: February 5, 2018
    Publication date: August 9, 2018
    Inventors: Isabel Sargent, Jonathon Hare