Patents by Inventor Noor SHAKER

Noor SHAKER 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).

  • Tensor network machine learning system
    Patent number: 11995557
    Abstract: The invention is machine learning based method of, or system configured for, identifying candidate, small, drug-like molecules, in which a tensor network representation of molecular quantum states of a dataset of small, drug-like molecules is provided as an input to a machine learning system, such as a neural network system. The machine learning method or system may is itself configured as a tensor network. A training dataset may be used to train the machine learning system, and the training dataset is a tensor network representation of the molecular quantum states of small drug-like molecules.
    Type: Grant
    Filed: May 30, 2018
    Date of Patent: May 28, 2024
    Assignee: KUANO LTD.
    Inventors: Vid Stojevic, Noor Shaker, Matthias Bal
  • MACHINE LEARNING BASED METHODS OF ANALYSING DRUG-LIKE MOLECULES
    Publication number: 20220383992
    Abstract: There is provided a method for a machine learning based method of analysing drug-like molecules by representing the molecular quantum states of each drug-like molecule as a quantum graph, and then feeding that quantum graph as an input to a machine learning system.
    Type: Application
    Filed: July 17, 2019
    Publication date: December 1, 2022
    Inventors: Hagen TRIENDL, Matthias BAL, Jarvist Moore FROST, Lawrence PHILLIPS, Agisilaos CHANTZIS, Graham SIMPSON, Vic STOJEVIC, Noor SHAKER, Michael GRAIG, Usman BASHIR, Mariana MANN
  • TENSOR NETWORK MACHINE LEARNING SYSTEM
    Publication number: 20210081804
    Abstract: The invention is machine learning based method of, or system configured for, identifying candidate, small, drug-like molecules, in which a tensor network representation of molecular quantum states of a dataset of small, drug-like molecules is provided as an input to a machine learning system, such as a neural network system. The machine learning method or system may is itself configured as a tensor network. A training dataset may be used to train the machine learning system, and the training dataset is a tensor network representation of the molecular quantum states of small drug-like molecules.
    Type: Application
    Filed: May 30, 2018
    Publication date: March 18, 2021
    Inventors: Vid STOJEVIC, Noor SHAKER, Matthias BAL