Patents by Inventor Stanislaw Wozniak

Stanislaw Wozniak 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).

  • Neuromorphic neuron apparatus for artificial neural networks
    Patent number: 11526735
    Abstract: A neuromorphic neuron apparatus includes an accumulation block and an output generation block. The apparatus has a current state variable corresponding to previously received one or more signals. The output generation block is configured to use an activation function for generating a current output value based on the current state variable. The accumulation block is configured to repeatedly: compute an adjustment of the current state variable using the current output value and a correction function indicative of a decay behaviour of a time constant of the apparatus; receive a current signal; update the current state variable using the computed adjustment and the received signal, the updated state variable becoming the current state variable; and cause the output generation block to generate a current output value based on the current state variable.
    Type: Grant
    Filed: March 7, 2019
    Date of Patent: December 13, 2022
    Assignee: International Business Machines Corporation
    Inventors: Stanislaw Wozniak, Angeliki Pantazi
  • Neuromorphic architecture with multiple coupled neurons using internal state neuron information
    Patent number: 10755167
    Abstract: This invention relates to an apparatus, system, and method for computing with neuromorphic circuit architectures that have neurons with interconnected internal state information. The interconnected internal state information allows the neurons to enable or strengthen the input to other neurons. Furthermore, neuron internal state information provides insights on the characteristics of the input data that can be used to enhance the performance of the neuromorphic system. The neuromorphic system can be implemented with an artificial phase-change-based neurons.
    Type: Grant
    Filed: June 22, 2016
    Date of Patent: August 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Angeliki Pantazi, Tomas Tuma, Stanislaw Wozniak
  • Neuromorphic Neuron Apparatus For Artificial Neural Networks
    Publication number: 20200193276
    Abstract: A neuromorphic neuron apparatus includes an accumulation block and an output generation block. The apparatus has a current state variable corresponding to previously received one or more signals. The output generation block is configured to use an activation function for generating a current output value based on the current state variable. The accumulation block is configured to repeatedly: compute an adjustment of the current state variable using the current output value and a correction function indicative of a decay behaviour of a time constant of the apparatus; receive a current signal; update the current state variable using the computed adjustment and the received signal, the updated state variable becoming the current state variable; and cause the output generation block to generate a current output value based on the current state variable.
    Type: Application
    Filed: March 7, 2019
    Publication date: June 18, 2020
    Inventors: Stanislaw Wozniak, Angeliki Pantazi
  • NEUROMORPHIC ARCHITECTURE WITH MULTIPLE COUPLED NEURONS USING INTERNAL STATE NEURON INFORMATION
    Publication number: 20170372194
    Abstract: This invention relates to an apparatus, system, and method for computing with neuromorphic circuit architectures that have neurons with interconnected internal state information. The interconnected internal state information allows the neurons to enable or strengthen the input to other neurons. Furthermore, neuron internal state information provides insights on the characteristics of the input data that can be used to enhance the performance of the neuromorphic system. The neuromorphic system can be implemented with an artificial phase-change-based neurons.
    Type: Application
    Filed: June 22, 2016
    Publication date: December 28, 2017
    Inventors: Angeliki Pantazi, Tomas Tuma, Stanislaw Wozniak