Patents by Inventor Thomas Gao

Thomas Gao 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: 20240150363
    Abstract: Described are coelenterazine analogues, methods for making the analogues, kits comprising the analogues, and methods of using the compounds for the detection of luminescence in luciferase-based assays. For example, the compounds may be used for in vivo imaging.
    Type: Application
    Filed: October 13, 2023
    Publication date: May 9, 2024
    Inventors: Joel R. Walker, Thomas Kirkland, Wenhui Zhou, Harry Tetsuo Uyeda, Robert Hurst, Rachel Friedman Ohana, Chao Gao, Hui Wang
  • Publication number: 20240139456
    Abstract: FIGS. 1-16D & 66A-92D disclose a large variety of methods of forming the headgear for use in combination with a breathing apparatus including a unitary plastic core within textile casings. In some configurations, the plastic core material penetrates or bursts-through the textile casing of the straps. Some configurations include over moulding, alignment posts, T-joints and joint housings with injection aperture. FIGS. 17-65 & 93A-94C disclose a large variety of different headgear arrangements including top strap, front strap, rear strap and pairs of straps extending from the mask above and below the ear to meet behind the ear. FIGS. 95-121B disclose a large variety of connectors connecting the headgear assembly to the mask assembly where the headgear, mask and connector form a closed loop when the connector is disengaged with the mask assembly.
    Type: Application
    Filed: November 14, 2023
    Publication date: May 2, 2024
    Inventors: Paul Mathew Freestone, Janine Elizabeth Collins, Ryan Anthony Graham, Vitaly Kapelevich, Melissa Catherine Bornholdt, Sophie Kathryn Randles, Silas Sao Jin Siew, Steve Thomas, Ronan Leahy, Max Leon Betteridge, Callum Ross Gordon, Vicky Dan Gao, Cameron Robert Willis
  • Patent number: 11967024
    Abstract: A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed 3D model is represented in a format that can be directly edited and/or rendered by conventional application programs, such as digital content creation (DCC) tools. For example, the constructed 3D model may be represented as a triangular surface mesh (with arbitrary topology), a set of 2D textures representing spatially-varying material parameters, and an environment map. Furthermore, the constructed 3D model may be included in 3D scenes and interacts realistically with other objects.
    Type: Grant
    Filed: May 30, 2022
    Date of Patent: April 23, 2024
    Assignee: NVIDIA Corporation
    Inventors: Carl Jacob Munkberg, Jon Niklas Theodor Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex John Bauld Evans, Thomas Müller-Höhne, Sanja Fidler
  • Patent number: 11961509
    Abstract: Methods and systems are disclosed for improving dialog management for task-oriented dialog systems. The disclosed dialog builder leverages machine teaching processing to improve development of dialog managers. In this way, the dialog builder combines the strengths of both rule-based and machine-learned approaches to allow dialog authors to: (1) import a dialog graph developed using popular dialog composers, (2) convert the dialog graph to text-based training dialogs, (3) continuously improve the trained dialogs based on log dialogs, and (4) generate a corrected dialog for retraining the machine learning.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: April 16, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Swadheen Kumar Shukla, Lars Hasso Liden, Thomas Park, Matthew David Mazzola, Shahin Shayandeh, Jianfeng Gao, Eslam Kamal Abdelreheem
  • Patent number: 11955463
    Abstract: Direct bonded stack structures for increased reliability and improved yields in microelectronics are provided. Structural features and stack configurations are provided for memory modules and 3DICs to reduce defects in vertically stacked dies. Example processes alleviate warpage stresses between a thicker top die and direct bonded dies beneath it, for example. An etched surface on the top die may relieve warpage stresses. An example stack may include a compliant layer between dies. Another stack configuration replaces the top die with a layer of molding material to circumvent warpage stresses. An array of cavities on a bonding surface can alleviate stress forces. One or more stress balancing layers may also be created on a side of the top die or between other dies to alleviate or counter warpage. Rounding of edges can prevent stresses and pressure forces from being destructively transmitted through die and substrate layers. These measures may be applied together or in combinations in a single package.
    Type: Grant
    Filed: February 25, 2022
    Date of Patent: April 9, 2024
    Assignee: ADEIA SEMICONDUCTOR BONDING TECHNOLOGIES INC.
    Inventors: Cyprian Emeka Uzoh, Rajesh Katkar, Thomas Workman, Guilian Gao, Gaius Gillman Fountain, Jr., Laura Wills Mirkarimi, Belgacem Haba, Gabriel Z. Guevara, Joy Watanabe
  • Patent number: 11937030
    Abstract: An optical link system for computation, preferably including a photonics substrate and a plurality of electronics modules, such as processors, memory controllers, and/or switches, which are preferably bonded to the photonics substrate. A photonics substrate, preferably including a plurality of optical links including waveguides and optical transducers. A method for optical link system operation, preferably including operating electronics modules and using optical links, optionally in cooperation with electronics modules such as switches, to transfer information between the electronics modules.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: March 19, 2024
    Assignee: Luminous Computing, Inc.
    Inventors: Patrick Gallagher, Thomas W. Baehr-Jones, Michael Gao, Mitchell A. Nahmias
  • Publication number: 20240075026
    Abstract: The present invention features solid pharmaceutical compositions comprising Compound 1 and Compound 2. In one embodiment, the solid pharmaceutical composition includes (1) a first layer which comprises 100 mg Compound 1, as well as a pharmaceutically acceptable hydrophilic polymer and a pharmaceutically acceptable surfactant, all of which are formulated in amorphous solid dispersion; and (2) a second layer which comprises 40 mg Compound 2, as well as a pharmaceutically acceptable hydrophilic polymer and a pharmaceutically acceptable surfactant, all of which are formulated in amorphous solid dispersion.
    Type: Application
    Filed: February 8, 2023
    Publication date: March 7, 2024
    Applicant: AbbVie Inc.
    Inventors: Nancy E. Sever, Ulrich Westedt, Ute Lander, Katrin Schneider, Benedikt Steitz, Thomas Mueller, Regina Reul, Constanze Obermiller, Adivaraha Jayasankar, Michael Simon, Yi Gao, Harald Hach, Samuel Kyeremateng, Katharina Asmus, Ping Tong, Donghua Zhu, Marius Naris, Colleen Garrett
  • Publication number: 20240078258
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for jointly training an image embedding model and a text embedding model. In one aspect, a method comprises: processing data from a historical query log of a search system to generate a candidate set of training examples, wherein each training example comprises: (i) a search query comprising a sequence of one or more words, (ii) an image, and (iii) selection data characterizing how often users selected the image in response to the image being identified by a search result for the search query; selecting a plurality of training examples from the candidate set of training examples; and using the training data to jointly train the image embedding model and the text embedding model.
    Type: Application
    Filed: November 9, 2023
    Publication date: March 7, 2024
    Inventors: Zhen Li, Yi-ting Chen, Ning Ye, Yaxi Gao, Zijian Guo, Aleksei Timofeev, Futang Peng, Thomas J. Duerig
  • Patent number: D786597
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: May 16, 2017
    Inventor: Thomas Gao