Patents by Inventor Zach Nation

Zach Nation 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).

  • User-interface for developing applications that apply machine learning
    Patent number: 10928970
    Abstract: The various embodiments described herein include methods, systems and/or devices used to visualize data. In one aspect, a method is performed by a computing system having one or more processors and memory. The method includes (1) receiving a request from a user to visualize data, the data stored in a graph dataflow processing system, and (2) in response to the request, invoking an interactive graphical user interface (GUI) for display to the user, the GUI including a first set of visualization data corresponding to a first subset of the data.
    Type: Grant
    Filed: July 20, 2015
    Date of Patent: February 23, 2021
    Assignee: Apple Inc.
    Inventors: Yucheng Low, Tim Muss, Zach Nation, Eric Wolfe, Brian Kent, Chris DuBois, Alice Zheng, Ping Wang, Srikrishna Sridhar, Carlos Guestrin
  • USER-INTERFACE FOR DEVELOPING APPLICATIONS THAT APPLY MACHINE LEARNING
    Publication number: 20160018962
    Abstract: The various embodiments described herein include methods, systems and/or devices used to visualize data. In one aspect, a method is performed by a computing system having one or more processors and memory. The method includes (1) receiving a request from a user to visualize data, the data stored in a graph dataflow processing system, and (2) in response to the request, invoking an interactive graphical user interface (GUI) for display to the user, the GUI including a first set of visualization data corresponding to a first subset of the data.
    Type: Application
    Filed: July 20, 2015
    Publication date: January 21, 2016
    Inventors: Yucheng Low, Tim Muss, Zach Nation, Eric Wolfe, Brian Kent, Chris DuBois, Alice Zheng, Ping Wang, Srikrishna Sridhar, Carlos Guestrin