Patents by Inventor Bridget Briana Beamon

Bridget Briana Beamon 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: 11386337
    Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including a forecasting device configured to forecast hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements, where the forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: July 12, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron Keith Baughman, Bridget Briana Beamon, Dong Chen, Peter Kenneth Malkin
  • Patent number: 10410123
    Abstract: A method, system, and non-transitory computer readable medium for hidden evidence correlation and causation linking including computing a correlation link based on hidden evidence found in relation to a user input in hidden cycle measurements, forecasting the hidden evidence into future forecasted cycle measurements, and computing a causation link based on the future forecasted cycle measurements.
    Type: Grant
    Filed: November 18, 2015
    Date of Patent: September 10, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Aaron Keith Baughman, Bridget Briana Beamon, Dong Chen, Peter Kenneth Malkin
  • Publication number: 20190272469
    Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including a forecasting device configured to forecast hidden evidence found in relation to a user input in hidden cycle measurements into future forecasted cycle measurements, where the forecasted hidden cycles are transformed into an amplitude versus frequency histogram with each histogram being compared to each other histogram and determined if causation is a candidate, and if causation is a candidate, a probability density function is applied to produce a degree of causation of a causation link for the hidden evidence in relation to the user input.
    Type: Application
    Filed: May 21, 2019
    Publication date: September 5, 2019
    Inventors: Aaron Baughman, Bridget Briana Beamon, Dong Chen, Peter Kenneth Malkin
  • Publication number: 20170140276
    Abstract: A method, system, and non-transitory compute readable medium for hidden evidence correlation and causation linking including computing a correlation link based on hidden evidence found in relation to a user input in hidden cycle measurements, forecasting the hidden evidence into future forecasted cycle measurements, and computing a causation link based on the future forecasted cycle measurements.
    Type: Application
    Filed: November 18, 2015
    Publication date: May 18, 2017
    Inventors: Aaron Keith Baughman, Bridget Briana Beamon, Dong Chen, Peter Kenneth Malkin