Patents by Inventor Lukas Czomomaz

Lukas Czomomaz 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).

  • Optical synapse for neuromorphic networks
    Patent number: 10657440
    Abstract: A neuromorphic network includes a first node configured to transmit a first optical signal and a second node configured to transmit a second optical signal. A waveguide optically connects the first node to the second node. An integrated optical synapse is located on the waveguide between the first node and the second node, the optical synapse configured to change an optical property based on the first optical signal and the second optical signal such that if a correlation between the first optical signal and the second optical signal is strong, the optical connection between the first node and the second node is increased and if the correlation between the first optical signal and the second optical signal is weak, the optical connection between the first node and the second node is decreased.
    Type: Grant
    Filed: October 26, 2015
    Date of Patent: May 19, 2020
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Stefan Abel, Lukas Czomomaz, Veeresh V. Deshpande, Jean Fompeyrine
  • Tunable optical neuromorphic network
    Patent number: 10395168
    Abstract: A reservoir computing neuromorphic network includes an input layer comprising one or more input nodes, a reservoir layer comprising a plurality of reservoir nodes, and an output layer comprising one or more output nodes. A portion of at least one of the input layer, the reservoir layer, and the output layer includes an optically tunable material.
    Type: Grant
    Filed: October 26, 2015
    Date of Patent: August 27, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Stefan Abel, Lukas Czomomaz, Veeresh V. Deshpande, Jean Fompeyrine
  • OPTICAL SYNAPSE FOR NEUROMORPHIC NETWORKS
    Publication number: 20170116514
    Abstract: A neuromorphic network includes a first node configured to transmit a first optical signal and a second node configured to transmit a second optical signal. A waveguide optically connects the first node to the second node. An integrated optical synapse is located on the waveguide between the first node and the second node, the optical synapse configured to change an optical property based on the first optical signal and the second optical signal such that if a correlation between the first optical signal and the second optical signal is strong, the optical connection between the first node and the second node is increased and if the correlation between the first optical signal and the second optical signal is weak, the optical connection between the first node and the second node is decreased.
    Type: Application
    Filed: October 26, 2015
    Publication date: April 27, 2017
    Inventors: Stefan Abel, Lukas Czomomaz, Veeresh V. Deshpande, Jean Fompeyrine
  • TUNABLE OPTICAL NEUROMORPHIC NETWORK
    Publication number: 20170116515
    Abstract: A reservoir computing neuromorphic network includes an input layer comprising one or more input nodes, a reservoir layer comprising a plurality of reservoir nodes, and an output layer comprising one or more output nodes. A portion of at least one of the input layer, the reservoir layer, and the output layer includes an optically tunable material.
    Type: Application
    Filed: October 26, 2015
    Publication date: April 27, 2017
    Inventors: Stefan Abel, Lukas Czomomaz, Veeresh V. Deshpande, Jean Fompeyrine