Patents by Inventor Katherine Winant Osborne

Katherine Winant Osborne 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: 20200302019
    Abstract: A system for training and deploying an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a memory storing machine readable instructions. The system may also comprise a processor to execute the machine readable instructions to receive a request via an artificial conversational entity. The processor may also transmit a response to the request based on a dialog tree generated from at least a model-based action generator and a memory-based action generator. The processor may further provide a training option to a user in the event the response is suboptimal. The processor may additionally receive a selection from the user via the training option. The selection may be associated with an optimal response.
    Type: Application
    Filed: March 22, 2019
    Publication date: September 24, 2020
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Matthew Brigham HALL, Weizhu CHEN, Junyan CHEN, Pengcheng HE, Yu ZHAO, Yi-Min WANG, Yuting SUN, Zheng CHEN, Katherine Winant OSBORNE
  • Publication number: 20170039332
    Abstract: A method for presenting health notifications begins with creating a plurality of different health notifications, each conveying the same type of information. Each of the different health notifications is provided to a plurality of different users, each user categorized with user health metrics. Post-health notification user activity is tracked for each of the different users. A machine-learning classification machine is trained with tracked user activity, along with corresponding user health metrics, for each of the different health notifications. When provided with user health metrics received from a health-monitoring computing device associated with a user, the machine-learning classification machine chooses a selected health notification for the user from among the different health notifications, the selected notification determined to be more likely than any of the other health notifications to elicit a healthy response from the user. The selected health notification is then sent to the user.
    Type: Application
    Filed: December 14, 2015
    Publication date: February 9, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Elad Yom-Tov, Hadas Bitran, Nazia Zaman, Brian Bilodeau, Katherine Winant Osborne, David A. Wickert, Ran Gilad-Bachrach, Gerrit Hendrik Hofmeester, Farah Shariff