Patents by Inventor George Giamougiannis

George Giamougiannis 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: 20240013041
    Abstract: Disclosed here are systems, methods, and apparatuses for single-ended electro-absorption modulators (EAMs) with electrical combining. In particular, systems and methods are disclosed for performing optical encoding and multiplication operation for optical signal without applying a sign value. The optical output can be converted into a photocurrent input and the sign value can be applied to the photocurrent input on an electrical layer.
    Type: Application
    Filed: September 25, 2023
    Publication date: January 11, 2024
    Inventors: Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic
  • Patent number: 11817903
    Abstract: Disclosed are coherent photonic circuit architectures that optically implement linear algebraic computations. In neuromorphic applications of such photonic circuit architectures, individual neural network layers can be implemented by coherent optical linear neurons in a crossbar configuration, integrated with electronic circuitry at the interfaces between neural network layers to determine the neuron inputs to one layer based on the neuron outputs of the preceding layer. Wavelength division multiplexing can be used to efficiently implement certain specific network models, optionally in conjunction with electro-optic switches to render a generic hardware configuration programmable.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: November 14, 2023
    Assignee: Celestial AI Inc.
    Inventors: Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic
  • Patent number: 11509397
    Abstract: Vector and matrix multiplications can be accomplished in photonic circuitry by coherently combining light that has been optically modulated, in amplitude and/or phase, in accordance with the vector and matrix components. Disclosed are various beneficial photonic circuit layouts characterized by loss- and delay-balanced optical paths. In various embodiments, loss balancing across paths is achieved with suitable optical coupling ratios and balanced numbers of waveguide crossings (using dummy crossings where needed) across the paths. Delays are balanced in some embodiments with geometrically delay-matched optical paths.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: November 22, 2022
    Assignee: Celestial AI Inc.
    Inventors: Yangjin Ma, Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic, Martinus Bos, Philip Winterbottom
  • Publication number: 20220263582
    Abstract: Vector and matrix multiplications can be accomplished in photonic circuitry by coherently combining light that has been optically modulated, in amplitude and/or phase, in accordance with the vector and matrix components. Disclosed are various beneficial photonic circuit layouts characterized by loss- and delay-balanced optical paths. In various embodiments, loss balancing across paths is achieved with suitable optical coupling ratios and balanced numbers of waveguide crossings (using dummy crossings where needed) across the paths. Delays are balanced in some embodiments with geometrically delay-matched optical paths.
    Type: Application
    Filed: December 17, 2021
    Publication date: August 18, 2022
    Inventors: Yangjin Ma, Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic, Martinus Bos, Philip Winterbottom
  • Publication number: 20220045757
    Abstract: Disclosed are coherent photonic circuit architectures that optically implement linear algebraic computations. In neuromorphic applications of such photonic circuit architectures, individual neural network layers can be implemented by coherent optical linear neurons in a crossbar configuration, integrated with electronic circuitry at the interfaces between neural network layers to determine the neuron inputs to one layer based on the neuron outputs of the preceding layer. Wavelength division multiplexing can be used to efficiently implement certain specific network models, optionally in conjunction with electro-optic switches to render a generic hardware configuration programmable.
    Type: Application
    Filed: August 6, 2021
    Publication date: February 10, 2022
    Inventors: Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic
  • Publication number: 20220044092
    Abstract: Disclosed are coherent photonic circuit architectures that optically implement linear algebraic computations. In neuromorphic applications of such photonic circuit architectures, individual neural network layers can be implemented by coherent optical linear neurons in a crossbar configuration, integrated with electronic circuitry at the interfaces between neural network layers to determine the neuron inputs to one layer based on the neuron outputs of the preceding layer. Wavelength division multiplexing can be used to efficiently implement certain specific network models, optionally in conjunction with electro-optic switches to render a generic hardware configuration programmable.
    Type: Application
    Filed: August 6, 2021
    Publication date: February 10, 2022
    Inventors: Nikolaos Pleros, David Lazovsky, George Giamougiannis, Apostolos Tsakyridis, Angelina Totovic