Patents by Inventor Lukas Zilka

Lukas Zilka 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).

  • Publication number: 20230359818
    Abstract: A computing device may receive inputted text and perform, using one or more neural networks, on-device grammar checking of a sequence of words in the inputted text, including determining, using the one or more neural networks, a grammatically correct version of the sequence of words and determining that the sequence of words does not match the grammatically correct version of the sequence of words. The computing device may, in response to determining that the sequence of words does not match the grammatically correct version of the sequence of words, output, for display at a display device, at least a portion of the grammatically correct version of the sequence of words as a suggested replacement for at least a sequence of the sequence of words in the inputted text.
    Type: Application
    Filed: December 18, 2020
    Publication date: November 9, 2023
    Inventors: Matthew Sharifi, Sebastian Millius, Qi Wang, Yunpeng Li, Shankar Kumar, Lukas Zilka, Simon Tong, Martin Sundermeyer
  • Publication number: 20230350978
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboratively training an interaction prediction machine learning model using a plurality of user devices in a manner that respects user privacy. In one aspect, the machine learning model is configured to process an input comprising: (i) a search query, and (ii) a data element, to generate an output which characterizes a likelihood that a given user would interact with the data element if the data element were presented to the given user on a webpage identified by a search result responsive to the search query.
    Type: Application
    Filed: July 12, 2023
    Publication date: November 2, 2023
    Inventor: Lukas Zilka
  • Patent number: 11741191
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collaboratively training an interaction prediction machine learning model using a plurality of user devices in a manner that respects user privacy. In one aspect, the machine learning model is configured to process an input comprising: (i) a search query, and (ii) a data element, to generate an output which characterizes a likelihood that a given user would interact with the data element if the data element were presented to the given user on a webpage identified by a search result responsive to the search query.
    Type: Grant
    Filed: September 7, 2022
    Date of Patent: August 29, 2023
    Assignee: GOOGLE LLC
    Inventor: Lukas Zilka