Patents by Inventor Nicholas L. Graham

Nicholas L. Graham 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).

  • Prevention of computer vision syndrome using explainable artificial intelligence
    Patent number: 11468990
    Abstract: Technology for applying explainable artificial training algorithms (XAI) to training machine learning algorithms for identifying potentially developing computer vision syndrome (CVS), CVS and/or recommended remedial action(s) that a user can perform to counter potentially developing CVS and/or existing CVS. In some embodiments, the XAI includes a Contrastive Explainability model. In some embodiments, the training performed by the XAI includes assigning weight factors respectively to CVS input parameters (for example, blink rate) based upon how strong the respective CVS input factor is correlated with development of CVS in the user.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: October 11, 2022
    Assignee: KYNDRYL, INC.
    Inventors: William G. Dusch, MacDonald Isere, Nicholas L. Graham, Scott Carrier
  • PREVENTION OF COMPUTER VISION SYNDROME USING EXPLAINABLE ARTIFICIAL INTELLIGENCE
    Publication number: 20220115128
    Abstract: Technology for applying explainable artificial training algorithms (XAI) to training machine learning algorithms for identifying potentially developing computer vision syndrome (CVS), CVS and/or recommended remedial action(s) that a user can perform to counter potentially developing CVS and/or existing CVS. In some embodiments, the XAI includes a Contrastive Explainability model. In some embodiments, the training performed by the XAI includes assigning weight factors respectively to CVS input parameters (for example, blink rate) based upon how strong the respective CVS input factor is correlated with development of CVS in the user.
    Type: Application
    Filed: October 12, 2020
    Publication date: April 14, 2022
    Inventors: William G. Dusch, MacDonald Isere, Nicholas L. Graham, Scott Carrier