Patents by Inventor Michael Fu

Michael Fu 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).

  • Patent number: 12620799
    Abstract: Circuit-based resettable switch controllers are disclosed. A disclosed example apparatus for use with a circuit includes an integrator to define a function that is based on a current of the circuit and time, a comparator to receive a first signal from the circuit at a first input of the comparator, and to receive a second signal from the integrator at a second input of the comparator, and a latch to receive an output of the comparator, the latch to prevent the current from flowing to or through the circuit based on the output from the comparator.
    Type: Grant
    Filed: February 27, 2024
    Date of Patent: May 5, 2026
    Assignee: The Boeing Company
    Inventors: Randy L. Brandt, Ronald P. Dudash, Suhat Limvorapun, Thomas Addicks Webb, Margaret Duenas, Michael Fu
  • Publication number: 20250273947
    Abstract: Circuit-based resettable switch controllers are disclosed. A disclosed example apparatus for use with a circuit includes an integrator to define a function that is based on a current of the circuit and time, a comparator to receive a first signal from the circuit at a first input of the comparator, and to receive a second signal from the integrator at a second input of the comparator, and a latch to receive an output of the comparator, the latch to prevent the current from flowing to or through the circuit based on the output from the comparator.
    Type: Application
    Filed: February 27, 2024
    Publication date: August 28, 2025
    Inventors: Randy L. Brandt, Ronald P. Dudash, Suhat Limvorapun, Thomas Addicks Webb, Margaret Duenas, Michael Fu
  • Patent number: 12131503
    Abstract: Virtual creation and visualization of a physically based virtual material swatch includes identifying a capture device model to support for use in the generation of the virtual material swatch, determining camera response of the capture device model, determining lookup tables of linearly transformed cosines for a plurality of parameters of a shading model, identifying a sample physical material, and determining material description for the sample physical material. A system and method may also include scanning a user physical material, selecting one or more of material preset, geometry preset, environment preset, and camera preset, and creating a virtual material swatch for the user physical material based on the selections.
    Type: Grant
    Filed: December 21, 2021
    Date of Patent: October 29, 2024
    Assignee: Aurora Operations, Inc
    Inventors: Alex Harvill, Allen Hemberger, Michael Fu
  • Publication number: 20230149248
    Abstract: Methods and systems for dynamically prescribing therapeutic games for treatment of ocular disorder are disclosed. The methods and systems include: performing an eye position calibration technique in a virtual reality environment to calibrate the virtual reality environment to a user; performing an eye movement measurement to produce a diagnosis result; selecting a virtual reality therapeutic game based on the diagnosis result; performing the virtual reality therapeutic game to receive a game user input in the virtual reality therapeutic game; and dynamically adjusting difficulty of the virtual reality therapeutic game based on the game user input. Other aspects, embodiments, and features are also claimed and described.
    Type: Application
    Filed: November 16, 2022
    Publication date: May 18, 2023
    Inventors: Mark Walker, Michael Fu
  • Patent number: 10740694
    Abstract: A computer-implemented method of performing machine vision prediction of digital images using synthetically generated training assets comprises digitally capturing a plurality of assets; configuring each of the assets in the plurality of assets with a plurality of asset attributes; under computer program control, selecting a plurality of different combinations of parameters from among the plurality of asset attributes, and creating a plurality of sets of different synthetic dataset parameters; using computer graphics software, and example parameter values from among the synthetic dataset parameters, creating a synthetic dataset by compiling from a plurality of example images and metadata; configuring a plurality of machine learning trials and executing the trials to train a machine vision model, resulting in creating and storing a trained machine vision model; executing a validation of the trained machine vision model; and inferring a prediction using the trained machine vision model.
    Type: Grant
    Filed: August 7, 2019
    Date of Patent: August 11, 2020
    Assignee: Vis Machina Inc.
    Inventors: Alex Harvill, Michael Fu
  • Publication number: 20200050965
    Abstract: A computer-implemented method of performing machine vision prediction of digital images using synthetically generated training assets comprises digitally capturing a plurality of assets; configuring each of the assets in the plurality of assets with a plurality of asset attributes; under computer program control, selecting a plurality of different combinations of parameters from among the plurality of asset attributes, and creating a plurality of sets of different synthetic dataset parameters; using computer graphics software, and example parameter values from among the synthetic dataset parameters, creating a synthetic dataset by compiling from a plurality of example images and metadata; configuring a plurality of machine learning trials and executing the trials to train a machine vision model, resulting in creating and storing a trained machine vision model; executing a validation of the trained machine vision model; and inferring a prediction using the trained machine vision model.
    Type: Application
    Filed: August 7, 2019
    Publication date: February 13, 2020
    Inventors: ALEX HARVILL, MICHAEL FU
  • Publication number: 20080206112
    Abstract: A modular rack to hold a plurality of specimen containers for performing assays. The modular rack can be increased or decreased in holding capacity by adding or subtracting modules to the rack. The modular rack also has removable webs so that different size specimen containers may be retained by the rack.
    Type: Application
    Filed: October 24, 2007
    Publication date: August 28, 2008
    Inventor: Michael Fu
  • Publication number: 20070276871
    Abstract: A model and system employing the model provides an organized structure for storing, displaying, and navigating content data regarding instruments for market driven industries (i.e., securities). A Market Research Model (MRM) paradigm is used to represent elemental concepts, a plurality of specific classes of entities form the MRM, and an interface is used to assemble, maintain, and interact with the model. Information may be added to the model by a research provider and provided to an end user on a subscription basis. The user is provided with an interconnected, navigable model of an item of interest for research and decision-making support.
    Type: Application
    Filed: May 18, 2007
    Publication date: November 29, 2007
    Applicant: PRIMARY GLOBAL RESEARCH, LLC
    Inventors: Michael Fu, Harold Sun, Unni Narayanan, William Ward Carey, Phani Saripella
  • Patent number: 6766500
    Abstract: A computer implemented process for the automatic creation of integrated circuit (IC) geometry including a multiple pass process flow using multiple passes of direct timing driven placement after a first pass of non-direct timing driven placement. First, a high level description of the circuit design may be synthesized. Next, a non-direct timing driven placement process may place the design. Then the placed design may be routed. Alternatively, routability may be estimated. After routing, a modified design may be resynthesized. The resynthesized design may then be placed according to a direct timing driven placement process. This sequence may be repeated several times.
    Type: Grant
    Filed: December 6, 2001
    Date of Patent: July 20, 2004
    Assignee: Synopsys, Inc.
    Inventors: Ross A. Donelly, William C. Naylor, Michael Fu