Patents by Inventor Eric Jonas

Eric Jonas 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).

  • DEEP IMITATION LEARNING FOR MOLECULAR INVERSE PROBLEMS
    Publication number: 20220383989
    Abstract: A method of determining a molecular structure of a compound includes obtaining a known molecular formula of the compound based on at least one of an observed spectrum and stoichiometric calculations. Edges that meet per-vertex constraints of the molecular formula are determined, and a plurality of candidate structures is generated based on the determined edges. The plurality of candidate structures are evaluated, and one candidate structure of the plurality of candidate structures is determined as the molecular structure of the compound based on the evaluation of the plurality of candidate structures.
    Type: Application
    Filed: November 3, 2020
    Publication date: December 1, 2022
    Inventor: Eric JONAS
  • SPACE EFFICIENT RANDOM DECISION FOREST MODELS IMPLEMENTATION UTILIZING AUTOMATA PROCESSORS
    Publication number: 20200327453
    Abstract: An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Inventors: Yao Fu, Paul Glendenning, Tommy Tracy, II, Eric Jonas
  • Space efficient random decision forest models implementation utilizing automata processors
    Patent number: 10699213
    Abstract: An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.
    Type: Grant
    Filed: July 19, 2016
    Date of Patent: June 30, 2020
    Assignee: Micron Technology, Inc.
    Inventors: Yao Fu, Paul Glendenning, Tommy Tracy, II, Eric Jonas
  • SPACE EFFICIENT RANDOM FORESTS IMPLEMENTATION UTILIZING AUTOMATA PROCESSORS
    Publication number: 20170255878
    Abstract: An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.
    Type: Application
    Filed: July 19, 2016
    Publication date: September 7, 2017
    Inventors: Yao Fu, Paul Glendenning, Tommy Tracy, II, Eric Jonas
  • Stereoscopic wide field of view imaging system
    Publication number: 20070126863
    Abstract: A stereoscopic imaging system incorporates a plurality of imaging devices or cameras to generate a high resolution, wide field of view image database from which images can be combined in real time to provide wide field of view or panoramic or omni-directional still or video images.
    Type: Application
    Filed: April 7, 2006
    Publication date: June 7, 2007
    Inventors: Eric Prechtl, Raymond Sedwick, Eric Jonas
  • Stereoscopic wide field of view imaging system
    Publication number: 20070024701
    Abstract: A stereoscopic imaging system incorporates a plurality of imaging devices or cameras to generate a high resolution, wide field of view image database from which images can be combined in real time to provide wide field of view or panoramic or omni-directional still or video images.
    Type: Application
    Filed: April 7, 2006
    Publication date: February 1, 2007
    Inventors: Eric Prechtl, Raymond Sedwick, Eric Jonas
  • Stereoscopic wide field of view imaging system
    Publication number: 20070014347
    Abstract: A stereoscopic imaging system incorporates a plurality of imaging devices or cameras to generate a high resolution, wide field of view image database from which images can be combined in real time to provide wide field of view or panoramic or omni-directional still or video images.
    Type: Application
    Filed: April 7, 2006
    Publication date: January 18, 2007
    Inventors: Eric Prechtl, Raymond Sedwick, Eric Jonas