Patents by Inventor Eran Ben Tovim

Eran Ben Tovim 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).

  • Autonomous Item Fabrication Utilizing a Trained Machine Learning Model
    Publication number: 20230098794
    Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item.
    Type: Application
    Filed: December 5, 2022
    Publication date: March 30, 2023
    Applicant: eBay Inc.
    Inventors: Maxim Manco, Fang Fang, Natraj Srinivasan, Alexander Akerman, Michael Ebin, Eran Ben Tovim
  • Autonomous Item Generation
    Publication number: 20210073833
    Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item.
    Type: Application
    Filed: September 9, 2020
    Publication date: March 11, 2021
    Applicant: eBay Inc.
    Inventors: Maxim Manco, Fang Fang, Natraj Srinivasan, Alexander Akerman, Michael Ebin, Eran Ben Tovim