Patents by Inventor Jinhwal Lee

Jinhwal Lee 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: 11763143
    Abstract: An encoded artificial intelligence (AI) behavior specification is received. A data generation configuration specification is received. And a deep neural network configuration specification is received. A training data set based on the data generation configuration specification is generated. An AI behavior deep neural network that conforms to the deep neural network configuration specification is trained using at least a subset of the generated training data. The trained AI behavior deep neural network is provided from a remote AI add-in service to a development environment.
    Type: Grant
    Filed: December 6, 2018
    Date of Patent: September 19, 2023
    Inventors: Dániel László Kovács, Jinhwal Lee, Taejun Kang, Sichang Yang, Hankyul Kim, Hong Shik Shinn
  • Publication number: 20190197402
    Abstract: An encoded artificial intelligence (AI) behavior specification is received. A data generation configuration specification is received. And a deep neural network configuration specification is received. A training data set based on the data generation configuration specification is generated. An AI behavior deep neural network that conforms to the deep neural network configuration specification is trained using at least a subset of the generated training data. The trained AI behavior deep neural network is provided from a remote AI add-in service to a development environment.
    Type: Application
    Filed: December 6, 2018
    Publication date: June 27, 2019
    Inventors: Dániel László Kovács, Jinhwal Lee, Taejun Kang, Sichang Yang, Hankyul Kim, Hong Shik Shinn
  • Publication number: 20180314942
    Abstract: One or more sensory inputs of an autonomous artificial intelligence (AI) computer character are received. One or more beliefs of the autonomous AI computer character are determined using a computer processor and one or more goals of the autonomous AI computer character are identified. A machine learning model is used to automatically determine an action of the autonomous AI computer character based at least in part on the one or more sensory inputs, the one or more beliefs, and the one or more goals of the autonomous AI computer character.
    Type: Application
    Filed: April 18, 2018
    Publication date: November 1, 2018
    Inventors: Hong Shik Shinn, Dániel László Kovács, Jinhwal Lee, Taejun Kang