Patents by Inventor Zachary Schumacher

Zachary Schumacher 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).

  • METHOD AND SYSTEM FOR SELF-CORRECTING MATCH STATES
    Publication number: 20230007325
    Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.
    Type: Application
    Filed: September 7, 2022
    Publication date: January 5, 2023
    Inventors: Simon Gershey, Kyle Engel, Dave Lucia, Zachary Schumacher
  • Method and system for self-correcting match states
    Patent number: 11451842
    Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.
    Type: Grant
    Filed: May 5, 2021
    Date of Patent: September 20, 2022
    Assignee: SIMPLEBET, INC.
    Inventors: Simon Gershey, Kyle Engel, Dave Lucia, Zachary Schumacher
  • METHOD AND SYSTEM FOR SELF-CORRECTING MATCH STATES
    Publication number: 20220174342
    Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.
    Type: Application
    Filed: May 5, 2021
    Publication date: June 2, 2022
    Inventors: Simon Gershey, Kyle Engel, Dave Lucia, Zachary Schumacher