Patents by Inventor Mohammad Saleh

Mohammad Saleh 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: 12354005
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Grant
    Filed: January 4, 2024
    Date of Patent: July 8, 2025
    Assignee: Google LLC
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20250217645
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.
    Type: Application
    Filed: January 2, 2025
    Publication date: July 3, 2025
    Inventors: Mohammad Saleh, Jingqing Zhang, Yao Zhao, Peter J. Liu
  • Patent number: 12348640
    Abstract: Methods, systems and computer program products are provided for creating and retrieving an immutable digital testimony involving activating a process on a device with a unique identifier and authenticating the creator of an immutable digital testimony using a unique user ID registered with a testimony network. The device activates associated cameras to generate a media stream. Frames are hashed using a selected scheme to create stream hashes, forming a live stream hash, and capturing metadata to be recorded on a blockchain. The stream media and hashing scheme are transmitted to a cloud server for storage, with cloud or distributed file system (DFS) addresses retrieved to determine where the media is saved. The live stream media is encrypted and sent to the DFS, encrypted media addresses are received, and the stream media is saved locally on the device.
    Type: Grant
    Filed: June 4, 2024
    Date of Patent: July 1, 2025
    Assignee: ALIBI LLC
    Inventors: Mohammad Saleh Yassin, Carlos Damian Fernandez Chiques
  • Publication number: 20250182194
    Abstract: A rent-to-own (RTO) transaction system and method includes a customer computer and retail computer. A product inventory is displayed on the customer computer, and a product selection is made by a customer via the customer computer. Identifying information is received from the customer, and based thereon, the identity of the customer is verified. An RTO agreement based on the product selection and the identifying information is developed and displayed on the customer computer. An execution of the RTO agreement is made by the customer via the customer computer and received by the retail computer.
    Type: Application
    Filed: February 11, 2025
    Publication date: June 5, 2025
    Applicant: Rent-A-Center West, Inc.
    Inventors: Ann DAVIDS, Mohammad Saleh
  • Publication number: 20250173871
    Abstract: A method of determining a raw score of a pathology slide from a tissue sample includes receiving, by a regression system, a plurality of first slide features corresponding to the pathology slide, calculating, by the regression system, one or more second slide features corresponding to the pathology slide based on the plurality of first slide features, and determining, by the regression system, the raw score based on one or more features of an accumulated feature set including the plurality of first slide features and the one or more second slide features.
    Type: Application
    Filed: January 27, 2025
    Publication date: May 29, 2025
    Inventor: Mohammad Saleh Miri
  • Patent number: 12299573
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Grant
    Filed: January 4, 2024
    Date of Patent: May 13, 2025
    Assignee: Google LLC
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Patent number: 12299572
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Grant
    Filed: January 4, 2024
    Date of Patent: May 13, 2025
    Assignee: Google LLC
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20250140414
    Abstract: Embodiments disclosed herein generally relate to representative datasets for biomedical machine learning models. Particularly, aspects of the present disclosure are directed to identifying a representative distribution of characteristics for a disease, generating a dataset comprising a set of biomedical images, wherein the dataset has a distribution of the characteristics that corresponds to the representative distribution of the characteristics for the disease, processing the dataset using a trained machine learning model, and outputting a result of the processing, wherein the result corresponds to a prediction that a biomedical image of the dataset includes a depiction of a set of tumor cells or other structural and/or functional biological entities associated with the disease, the biomedical image is associated with a diagnosis of the disease, the biomedical image is associated with a classification of the disease, and/or the biomedical image is associated with a prognosis for the disease.
    Type: Application
    Filed: January 3, 2025
    Publication date: May 1, 2025
    Applicant: Ventana Medical Systems, Inc.
    Inventors: Ipshita Bhattacharya, Christoph Guetter, Uday Kurkure, Mohammad Saleh Miri
  • Publication number: 20250131563
    Abstract: The present disclosure relates to techniques for efficient development of initial models and efficient model update and/or adaptation to a different image domain using an adaptive learning framework. For efficient development of initial models, a two-step development strategy may be performed as follows: Phase 1: Model preconditioning, where an artificial intelligence system leverages existing annotated datasets and improves learning skills through training of these datasets; and Phase 2: Target-model training, where an artificial intelligence system utilizes the learning skills learned from Phase 1 to extend itself to a different image domain (target domain) with less number of annotations required in the target domain than conventional learning methods.
    Type: Application
    Filed: December 11, 2024
    Publication date: April 24, 2025
    Applicant: Ventana Medical Systems, Inc.
    Inventors: Qinle Ba, Ipshita Bhattacharya, Christoph Guetter, Veena Kaustaban, Jim F. Martin, Nahill Atef Sobh, Mohammad Saleh Miri, Satarupa Mukherjee
  • Patent number: 12271817
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Grant
    Filed: January 4, 2024
    Date of Patent: April 8, 2025
    Assignee: Google LLC
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Patent number: 12217180
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.
    Type: Grant
    Filed: October 12, 2023
    Date of Patent: February 4, 2025
    Assignee: Google LLC
    Inventors: Mohammad Saleh, Jingqing Zhang, Yao Zhao, Peter J. Liu
  • Publication number: 20240405997
    Abstract: Methods, systems and computer program products are provided for creating and retrieving an immutable digital testimony involving activating a process on a device with a unique identifier and authenticating the creator of an immutable digital testimony using a unique user ID registered with a testimony network. The device activates associated cameras to generate a media stream. Frames are hashed using a selected scheme to create stream hashes, forming a live stream hash, and capturing metadata to be recorded on a blockchain. The stream media and hashing scheme are transmitted to a cloud server for storage, with cloud or distributed file system (DFS) addresses retrieved to determine where the media is saved. The live stream media is encrypted and sent to the DFS, encrypted media addresses are received, and the stream media is saved locally on the device.
    Type: Application
    Filed: June 4, 2024
    Publication date: December 5, 2024
    Inventors: Mohammad Saleh Yassin, Carlos Damian Fernandez Chiques
  • Publication number: 20240256859
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Application
    Filed: January 4, 2024
    Publication date: August 1, 2024
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20240220796
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Application
    Filed: January 4, 2024
    Publication date: July 4, 2024
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20240211752
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Application
    Filed: January 4, 2024
    Publication date: June 27, 2024
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20240211751
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Application
    Filed: January 4, 2024
    Publication date: June 27, 2024
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben David Goodrich, Peter J. Liu, Ryan Sepassi
  • Publication number: 20240185065
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.
    Type: Application
    Filed: October 12, 2023
    Publication date: June 6, 2024
    Inventors: Mohammad Saleh, Jingqing Zhang, Yao Zhao, Peter J. Liu
  • Publication number: 20240079116
    Abstract: Techniques for image segmentation of a digital pathology image may include accessing an input image that depicts a section of a tissue; and generating a segmentation image by processing the input image using a generator network, the generator network having been trained using a data set that includes a plurality of pairs of images. The segmentation image indicates, for each of a plurality of artifact regions of the input image, a boundary of the artifact region. At least one of the plurality of artifact regions depicts an anomaly that is not a structure of the tissue. Each pair of images of the plurality of pairs includes a first image of a section of a tissue, the first image including at least one artifact region, and a second image that indicates, for each of the at least one artifact region of the first image, a boundary of the artifact region.
    Type: Application
    Filed: October 31, 2023
    Publication date: March 7, 2024
    Applicant: Ventana Medical Systems, Inc.
    Inventors: Mohammad Saleh MIRI, Aicha BEN TAIEB, Uday Kurkure
  • Patent number: 11886998
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an output sequence from an input sequence. One of the methods includes, at each of a plurality of generation time steps: generating a combined sequence for the generation time step that includes the input sequence followed by the output tokens that have already been generated as of the generation time step; processing the combined sequence using a self-attention decoder neural network to generate a time step output that defines a score distribution over a set of possible output tokens; and selecting, using the time step output, an output token from the set of possible output tokens as the next output token in the output sequence.
    Type: Grant
    Filed: January 13, 2023
    Date of Patent: January 30, 2024
    Assignee: Google LLC
    Inventors: Noam M. Shazeer, Lukasz Mieczyslaw Kaiser, Etienne Pot, Mohammad Saleh, Ben Goodrich, Peter J. Liu, Ryan Sepassi
  • Patent number: 11803751
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.
    Type: Grant
    Filed: January 4, 2021
    Date of Patent: October 31, 2023
    Assignee: Google LLC
    Inventors: Mohammad Saleh, Jingqing Zhang, Yao Zhao, Peter J. Liu