Patents by Inventor William Guss

William Guss 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).

  • Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
    Patent number: 10586173
    Abstract: An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: March 10, 2020
    Assignee: Bonsai AI, Inc.
    Inventors: Mark Isaac Hammond, Keen McEwan Browne, Marcos Campos, Matthew James Brown, Ruofan Kong, William Guss, Ross Story
  • Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models
    Patent number: 10540613
    Abstract: An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model.
    Type: Grant
    Filed: January 26, 2017
    Date of Patent: January 21, 2020
    Assignee: Bonsai AI, Inc.
    Inventors: Mark Isaac Hammond, Keen McEwan Browne, Marcos Campos, Matthew James Brown, Ruofan Kong, William Guss, Ross Story
  • SEARCHABLE DATABASE OF TRAINED ARTIFICIAL INTELLIGENCE OBJECTS THAT CAN BE REUSED, RECONFIGURED, AND RECOMPOSED, INTO ONE OR MORE SUBSEQUENT ARTIFICIAL INTELLIGENCE MODELS
    Publication number: 20170213155
    Abstract: An AI database hosted on cloud platform is configured to cooperate with a search engine and an AI engine. The AI database stores and indexes trained AI objects and its class of AI objects have searchable criteria. The AI database cooperates with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface. The search engine utilizes the search criteria in order for the search engine to retrieve one or more AI data objects that have already been trained as query results. The AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects from the AI database into a new trained AI model.
    Type: Application
    Filed: January 26, 2017
    Publication date: July 27, 2017
    Inventors: Mark Isaac Hammond, Keen McEwan Browne, Marcos Campos, Matthew James Brown, Ruofan Kong, William Guss, Ross Story