Patents by Inventor Andrew Ng

Andrew Ng 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: 11918582
    Abstract: Disclosed herein are pyrazole pyrimidine compounds that modulate and/or inhibit hematopoietic progenitor kinase 1, as well as methods of making such compounds and therapeutic methods of using same.
    Type: Grant
    Filed: March 14, 2022
    Date of Patent: March 5, 2024
    Assignee: RAPT Therapeutics, Inc.
    Inventors: Cyril Bucher, Adrian Dukes, Blanca Gomez, Hannah Haley, Dennis Hu, Jeffrey J. Jackson, Michelle Yoo Min Ko, Paul Leger, Anqi Ma, Andrew A. Ng, Daniel Poon, Omar Robles, Anton Shakhmin, Grant Shibuya, Parcharee Tivitmahaisoon, Vi-Anh Vu, David J. Wustrow, Mikhail Zibinsky
  • Patent number: 11705107
    Abstract: Embodiments of a production-quality text-to-speech (TTS) system constructed from deep neural networks are described. System embodiments comprise five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-to-phoneme conversion model, a phoneme duration prediction model, a fundamental frequency prediction model, and an audio synthesis model. For embodiments of the segmentation model, phoneme boundary detection was performed with deep neural networks using Connectionist Temporal Classification (CTC) loss. For embodiments of the audio synthesis model, a variant of WaveNet was created that requires fewer parameters and trains faster than the original. By using a neural network for each component, system embodiments are simpler and more flexible than traditional TTS systems, where each component requires laborious feature engineering and extensive domain expertise. Inference with system embodiments may be performed faster than real time.
    Type: Grant
    Filed: October 1, 2020
    Date of Patent: July 18, 2023
    Assignee: Baidu USA LLC
    Inventors: Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, John Miller, Andrew Ng, Jonathan Raiman, Shubhahrata Sengupta, Mohammad Shoeybi
  • Patent number: 11562733
    Abstract: Presented herein are embodiments of state-of-the-art speech recognition systems developed using end-to-end deep learning. In embodiments, the model architecture is significantly simpler than traditional speech systems, which rely on laboriously engineered processing pipelines; these traditional systems also tend to perform poorly when used in noisy environments. In contrast, embodiments of the system do not need hand-designed components to model background noise, reverberation, or speaker variation, but instead directly learn a function that is robust to such effects. Neither a phoneme dictionary, nor even the concept of a “phoneme,” is needed. Embodiments include a well-optimized recurrent neural network (RNN) training system that can use multiple GPUs, as well as a set of novel data synthesis techniques that allows for a large amount of varied data for training to be efficiently obtained.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: January 24, 2023
    Assignee: BAIDU USA LLC
    Inventors: Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Gregory Diamos, Erich Eisen, Ryan Prenger, Sanjeev Satheesh, Shubhabrata Sengupta, Adam Coates, Andrew Ng
  • Patent number: 11512213
    Abstract: Disclosed herein is a polymeric film, the film comprising a polymeric matrix material, a plurality of perovskite nanocrystals and/or aggregates of perovskite nanocrystals dispersed throughout the polymeric matrix material. There is also disclosed a perovskite polymer resin composition, a perovskite-polymer resin composition, a perovskite ink and a method of forming a luminescent film using any one of the compositions or ink. Preferably, the perovskite material is a lead halide perovskite containing a cation selected from Cs, an alkylammonium ion, or a formamidinium ion. The polymeric matrix is preferably formed from monomers comprising a vinyl or an acrylate group.
    Type: Grant
    Filed: March 13, 2019
    Date of Patent: November 29, 2022
    Assignee: NATIONAL UNIVERSITY OF SINGAPORE
    Inventors: Zhi Kuang Tan, Ying-Chieh Wong, Jun De Andrew Ng, Beiye Li
  • Publication number: 20220305018
    Abstract: Disclosed herein are pyrazole pyrimidine compounds that modulate and/or inhibit hematopoietic progenitor kinase 1, as well as methods of making such compounds and therapeutic methods of using same.
    Type: Application
    Filed: March 14, 2022
    Publication date: September 29, 2022
    Inventors: Cyril Bucher, Adrian Dukes, Blanca Gomez, Hannah Haley, Dennis Hu, Jeffrey J. Jackson, Michelle Yoo Min Ko, Paul Leger, Anqi Ma, Andrew A. Ng, Daniel Poon, Omar Robles, Anton Shakhmin, Grant Shibuya, Parcharee Tivitmahaisoon, Vi-Anh Vu, David J. Wustrow, Mikhail Zibinsky
  • Publication number: 20220119466
    Abstract: Provided are molecular feedback circuits as well as nucleic acids encoding such molecular feedback circuits and cells genetically modified with the subject molecular feedback circuits. Methods of modulating signaling of a signaling pathway of a cell using molecular feedback circuits and methods of treating a subject for a condition by administering a cell containing a nucleic acid that encodes a molecular feedback circuit are also provided. Aspects of the molecular feedback circuits of the present disclosure include a signaling protein, of a signaling pathway, that includes a latent deactivation domain. Such circuits may include a regulatory sequence that is responsive to an output of the signaling pathway and is operably linked to a nucleic acid encoding a switch polypeptide that, when expressed, triggers the deactivation domain to deactivate the signaling molecule.
    Type: Application
    Filed: January 6, 2020
    Publication date: April 21, 2022
    Inventors: Hana El-Samad, Andrew Ng
  • Publication number: 20220119467
    Abstract: Provided are molecular feedback circuits employing caged-degrons. Aspects of such circuits include the use of a caged-degron to modulate the output of a signaling pathway in a feedback-controlled manner. Also provided are nucleic acids encoding molecular circuits and cells containing such nucleic acids. Methods of using caged-degron-based molecular feedback circuits are also provided, including e.g., methods of modulating a signaling pathway of a cell that include genetically modifying the cell with a caged-degron-based molecular feedback circuit.
    Type: Application
    Filed: January 6, 2020
    Publication date: April 21, 2022
    Inventors: David Baker, Scott Boyken, Hana El-Samad, Marc Lajoie, Robert Langan, Andrew Ng
  • Publication number: 20220073565
    Abstract: Disclosed herein are non-naturally occurring cage polypeptides, kits and degron LOCKRs including the cage polypep-tides, and uses thereof, wherein the cage polypeptides include (a) a helical bundle, comprising between 2 and 7 alpha-helices, wherein the helical bundle includes: (i) a structural region; and (ii) a latch region, wherein the latch region composes a degron located within the latch region, wherein the structural region interacts with the latch region to prevent activity of the degron; and (b) amino acid linkers connecting each alpha helix
    Type: Application
    Filed: January 6, 2020
    Publication date: March 10, 2022
    Inventors: Robert LANGAN, Andrew NG, Scott BOYKEN, Marc LAJOIE, Hana EL-SAMAD, David BAKER
  • Publication number: 20210236402
    Abstract: A method of repairing oxidatively-treated hair, the methods comprising the sequential steps of: (i) soaking hair in an aqueous treatment composition, (ii) rinsing the hair of step (i); characterised in that the aqueous treatment composition comprises 0.1 to 6 wt % N-acetyl amino acid, based on the total weight of the composition, wherein the N-acetyl amino acid is selected from the group consisting of N-acetyl glycine, N-acetyl alanine, N-acetyl proline, N-acetyl leucine, N-acetyl isoleucine, N-acetyl valine, N-acetyl tyrosine, N-acetyl phenylalanine, N-acetyl tryptophan, N-acetyl serine, N-acetyl glutamine, N-acetyl threonine, N-acetyl asparagine, N-acetyl methionine, N-acetyl lysine, N-acetyl histidine and mixtures thereof, gives damage repair benefits.
    Type: Application
    Filed: April 25, 2019
    Publication date: August 5, 2021
    Inventors: Andrew NG, Prem Kumar Cheyalazhagan PAUL, Charlotte Breony Tandy ROGERS
  • Patent number: 11046699
    Abstract: Disclosed herein are pyrozolo-pyrimidin-amino-cycloalkyl compounds, analogs thereof, pharmaceutical compositions comprising thereof and therapeutic uses therefor.
    Type: Grant
    Filed: June 4, 2019
    Date of Patent: June 29, 2021
    Assignee: RAPT THERAPEUTICS, INC.
    Inventors: Minna H. T. Bui, Adrian O. Dukes, Xinping Han, Dennis X. Hu, Jeffrey J. Jackson, Yoo Min Ko, Paul R. Leger, Anqi Ma, Jack Maung, Andrew A. Ng, Akinori Okano, Omar Robles, Grant Shibuya, Hunter P. Shunatona, Jacob B. Schwarz, Anton A. Shakhmin, David J. Wustrow, Mikhail Zibinsky
  • Publication number: 20210024765
    Abstract: Disclosed herein is a polymeric film, the film comprising a polymeric matrix material, a plurality of perovskite nanocrystals and/or aggregates of perovskite nanocrystals dispersed throughout the polymeric matrix material. There is also disclosed a perovskite polymer resin composition, a perovskite-polymer resin composition, a perovskite ink and a method of forming a luminescent film using any one of the compositions or ink. Preferably, the perovskite material is a lead halide perovskite containing a cation selected from Cs, an alkylammonium ion, or a formamidinium ion. The polymeric matrix is preferably formed from monomers comprising a vinyl or an acrylate group.
    Type: Application
    Filed: March 13, 2019
    Publication date: January 28, 2021
    Applicant: National University of Singapore
    Inventors: Zhi Kuang Tan, Ying-Chieh Wong, Jun De Andrew Ng, Beiye Li
  • Publication number: 20210027762
    Abstract: Embodiments of a production-quality text-to-speech (TTS) system constructed from deep neural networks are described. System embodiments comprise five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-to-phoneme conversion model, a phoneme duration prediction model, a fundamental frequency prediction model, and an audio synthesis model. For embodiments of the segmentation model, phoneme boundary detection was performed with deep neural networks using Connectionist Temporal Classification (CTC) loss. For embodiments of the audio synthesis model, a variant of WaveNet was created that requires fewer parameters and trains faster than the original. By using a neural network for each component, system embodiments are simpler and more flexible than traditional TTS systems, where each component requires laborious feature engineering and extensive domain expertise. Inference with system embodiments may be performed faster than real time.
    Type: Application
    Filed: October 1, 2020
    Publication date: January 28, 2021
    Applicant: Baidu USA LLC
    Inventors: Sercan O. ARIK, Mike CHRZANOWSKI, Adam COATES, Gregory DIAMOS, Andrew GIBIANSKY, John MILLER, Andrew NG, Jonathan RAIMAN, Shubhahrata SENGUPTA, Mohammad SHOEYBI
  • Patent number: 10872598
    Abstract: Embodiments of a production-quality text-to-speech (TTS) system constructed from deep neural networks are described. System embodiments comprise five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-to-phoneme conversion model, a phoneme duration prediction model, a fundamental frequency prediction model, and an audio synthesis model. For embodiments of the segmentation model, phoneme boundary detection was performed with deep neural networks using Connectionist Temporal Classification (CTC) loss. For embodiments of the audio synthesis model, a variant of WaveNet was created that requires fewer parameters and trains faster than the original. By using a neural network for each component, system embodiments are simpler and more flexible than traditional TTS systems, where each component requires laborious feature engineering and extensive domain expertise. Inference with system embodiments may be performed faster than real time.
    Type: Grant
    Filed: January 29, 2018
    Date of Patent: December 22, 2020
    Assignee: Baidu USA LLC
    Inventors: Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, John Miller, Andrew Ng, Jonathan Raiman, Shubhahrata Sengupta, Mohammad Shoeybi
  • Publication number: 20190375753
    Abstract: Disclosed herein are pyrozolo-pyrimidin-amino-cycloalkyl compounds, analogs thereof, pharmaceutical compositions comprising thereof and therapeutic uses therefor.
    Type: Application
    Filed: June 4, 2019
    Publication date: December 12, 2019
    Inventors: Minna H. T. Bui, Adrian O. Dukes, Xinping Han, Dennis X. Hu, Jeffrey J. Jackson, Yoo Min Ko, Paul R. Leger, Anqi Ma, Jack Maung, Andrew A. Ng, Akinori Okano, Omar Robles, Grant Shibuya, Hunter P. Shunatona, Jacob B. Schwarz, Anton A. Shakhmin, David J. Wustrow, Mikhail Zibinsky
  • Publication number: 20190371298
    Abstract: Presented herein are embodiments of state-of-the-art speech recognition systems developed using end-to-end deep learning. In embodiments, the model architecture is significantly simpler than traditional speech systems, which rely on laboriously engineered processing pipelines; these traditional systems also tend to perform poorly when used in noisy environments. In contrast, embodiments of the system do not need hand-designed components to model background noise, reverberation, or speaker variation, but instead directly learn a function that is robust to such effects. A phoneme dictionary, nor even the concept of a “phoneme,” is needed. Embodiments include a well-optimized recurrent neural network (RNN) training system that can use multiple GPUs, as well as a set of novel data synthesis techniques that allows for a large amount of varied data for training to be efficiently obtained.
    Type: Application
    Filed: August 15, 2019
    Publication date: December 5, 2019
    Applicant: BAIDU USA LLC
    Inventors: Awni HANNUN, Carl CASE, Jared Casper, Bryan Catanzaro, Gregory Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubhabrata Sengupta, Adam Coates, Andrew Ng
  • Publication number: 20180247636
    Abstract: Embodiments of a production-quality text-to-speech (TTS) system constructed from deep neural networks are described. System embodiments comprise five major building blocks: a segmentation model for locating phoneme boundaries, a grapheme-to-phoneme conversion model, a phoneme duration prediction model, a fundamental frequency prediction model, and an audio synthesis model. For embodiments of the segmentation model, phoneme boundary detection was performed with deep neural networks using Connectionist Temporal Classification (CTC) loss. For embodiments of the audio synthesis model, a variant of WaveNet was created that requires fewer parameters and trains faster than the original. By using a neural network for each component, system embodiments are simpler and more flexible than traditional TTS systems, where each component requires laborious feature engineering and extensive domain expertise. Inference with system embodiments may be performed faster than real time.
    Type: Application
    Filed: January 29, 2018
    Publication date: August 30, 2018
    Applicant: Baidu USA LLC
    Inventors: Sercan O. ARIK, Mike CHRZANOWSKI, Adam COATES, Gregory DIAMOS, Andrew GIBIANSKY, John MILLER, Andrew NG, Jonathan RAIMAN, Shubhahrata SENGUPTA, Mohammad SHOEYBI
  • Patent number: 9999743
    Abstract: A method and system for sound-induced sleep is provided. The method includes detecting brainwave signals of a subject. The method further includes analyzing the brainwave signals to determine a current sleepy state of the subject and selecting a sound in response to the current sleepy state based on a quantified association index between the brainwave signals and acoustical features of the sound. The method further more includes playing the sound to the subject.
    Type: Grant
    Filed: June 11, 2014
    Date of Patent: June 19, 2018
    Assignee: Agency for Science, Technology and Research
    Inventors: Yaozhang Pan, Juanhong Yu, Cuntai Guan, Keong Andrew Ng, Ti Eu Chan, Zhou Zhang
  • Patent number: 9635335
    Abstract: A system for recording a compressed video-audio stream includes a decoder for decoding the video and audio packets of the stream, a multimedia recorder for recording the video and audio portions of the stream, and a video frame editor. In one embodiment the multimedia recorder receives and ignores initial delta frames of the video portion of the stream while buffering the audio portion of the stream received until a first key frame arrives and is buffered and decoded and wherein upon receiving a command to record, the system writes a copy of the key frame at a predefined interval the first interval corresponding with the start of the recording of the audio portions of the stream, the write interval repeated successively until a next key frame arrives whereby the video and audio is then recorded as received.
    Type: Grant
    Filed: August 17, 2015
    Date of Patent: April 25, 2017
    Assignee: GENESYS TELECOMMUNICATIONS LABORATORIES, INC.
    Inventors: Alex Y. Lee, Anthony C. Lam, Andrew Ng, Chakrit Nimmanant
  • Publication number: 20160151602
    Abstract: A method and system for sound-induced sleep is provided. The method includes detecting brainwave signals of a subject. The method further includes analyzing the brainwave signals to determine a current sleepy state of the subject and selecting a sound in response to the current sleepy state based on a quantified association index between the brainwave signals and acoustical features of the sound. The method further more includes playing the sound to the subject.
    Type: Application
    Filed: June 11, 2014
    Publication date: June 2, 2016
    Applicant: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH
    Inventors: Yaozhang PAN, Juanhong YU, Cuntai GUAN, Keong Andrew NG, Ti Eu CHAN, Zhou ZHANG
  • Patent number: 9237425
    Abstract: A business object model, which reflects data that is used during a given business transaction, is utilized to generate interfaces. This business object model facilitates commercial transactions by providing consistent interfaces that are suitable for use across industries, across businesses, and across different departments within a business during a business transaction. In some operations, software creates, updates, or otherwise processes information related to a feed event, a feed event document, and/or a feed event type business object.
    Type: Grant
    Filed: February 16, 2012
    Date of Patent: January 12, 2016
    Assignee: SAP SE
    Inventors: Miro Vins, Vincent Mendicino, Dirk Wodtke, Chinmaya Sarangi, Jian Xu, Andrew Ng, Neil Srivatsan, Werner Gnan, Peter Latocha, Michael Seubert, Yingjiong He