Patents by Inventor Amber Taylor

Amber Taylor 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).

  • Generating weather data based on messaging system activity
    Patent number: 11789179
    Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.
    Type: Grant
    Filed: November 1, 2022
    Date of Patent: October 17, 2023
    Assignee: Snap Inc.
    Inventors: Anup Prabhakar Dhalwani, Walton Lin, Andrew Lin, Amer Shahnawaz, Leonid Gorkin, Amber Taylor, Lillian Zheng, Eric Wood
  • GENERATING WEATHER DATA BASED ON MESSAGING SYSTEM ACTIVITY
    Publication number: 20230052351
    Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.
    Type: Application
    Filed: November 1, 2022
    Publication date: February 16, 2023
    Inventors: Anup Prabhakar Dhalwani, Walton Lin, Andrew Lin, Amer Shahnawaz, Leonid Gorkin, Amber Taylor, Lillian Zheng, Eric Wood
  • Generating weather data based on messaging system activity
    Patent number: 11574225
    Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.
    Type: Grant
    Filed: July 14, 2020
    Date of Patent: February 7, 2023
    Assignee: Snap Inc.
    Inventors: Anup Prabhakar Dhalwani, Walton Lin, Andrew Lin, Amer Shahnawaz, Leonid Gorkin, Amber Taylor, Lillian Zheng, Eric Wood
  • GENERATING WEATHER DATA BASED ON MESSAGING SYSTEM ACTIVITY
    Publication number: 20200342341
    Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.
    Type: Application
    Filed: July 14, 2020
    Publication date: October 29, 2020
    Inventors: Anup Prabhakar Dhalwani, Walton Lin, Andrew Lin, Amer Shahnawaz, Leonid Gorkin, Amber Taylor, Lillian Zheng, Eric Wood
  • Generating weather data based on messaging system activity
    Patent number: 10769542
    Abstract: Systems and methods are provided for analyzing messages generated by a plurality of computing devices associated with a plurality of users in a messaging system to generate training data to train a machine learning model to determine a probability that a media content item was generated inside an enclosed location or outside, receiving a media content item from a computing device, analyzing the media content item using the trained machine learning model to determine a probability that the media content item was generated inside an enclosed location or outside, determining, based on the probability generated by the trained machine learning model, that the media content item was generated inside an enclosed location, and determining an inside temperature associated with the venue based on messages generated by a plurality of computing devices in a messaging system comprising media content items and temperature information for the venue or a similar venue type.
    Type: Grant
    Filed: May 25, 2018
    Date of Patent: September 8, 2020
    Assignee: Snap Inc.
    Inventors: Anup Prabhakar Dhalwani, Walton Lin, Andrew Lin, Amer Shahnawaz, Leonid Gorkin, Amber Taylor, Lillian Zheng, Eric Wood