Patents by Inventor Casimir Wierzynski

Casimir Wierzynski 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: 11507699
    Abstract: An example private processing pipeline may include: a masked decryption unit to perform a masked decryption operation transforming input data into masked decrypted data; a masked functional unit to produce a masked result by performing a masked operation on the masked decrypted data; and a masked encryption unit to perform a masked encryption operation transforming the masked result into an encrypted result.
    Type: Grant
    Filed: September 27, 2019
    Date of Patent: November 22, 2022
    Assignee: Intel Corporation
    Inventors: Casimir Wierzynski, Fabian Boemer, Rosario Cammarota
  • Patent number: 11251876
    Abstract: Embodiments of the present disclosure are directed toward techniques and apparatus comprising at least one layer of an ONN that includes an optical matrix multiplier provided in a semiconductor substrate to receive a plurality of optical signal inputs and to linearly transform the plurality of optical signal inputs into a plurality of optical signal outputs. The optical matrix multiplier comprises one or more 2×2 unitary optical matrices optically interconnected to implement a singular value decomposition (SVD) of a matrix, and a nonlinear optical device coupled with the optical matrix multiplier in the semiconductor substrate, to receive the optical signal outputs and to provide an optical output that is generated in a nonlinear manner in response to the optical signal outputs of the optical matrix multiplier reaching saturation or attenuation. Additional embodiments may be described and claimed.
    Type: Grant
    Filed: November 17, 2020
    Date of Patent: February 15, 2022
    Assignee: Intel Corporation
    Inventors: Wenhua Lin, Amir Khosrowshahi, Casimir Wierzynski
  • Patent number: 11218223
    Abstract: Embodiments of the present disclosure are directed toward techniques and apparatus comprising at least one layer of an ONN that includes an optical matrix multiplier provided in a semiconductor substrate to receive a plurality of optical signal inputs and to linearly transform the plurality of optical signal inputs into a plurality of optical signal outputs. The optical matrix multiplier comprises one or more 2×2 unitary optical matrices optically interconnected to implement a singular value decomposition (SVD) of a matrix, and a nonlinear optical device coupled with the optical matrix multiplier in the semiconductor substrate, to receive the optical signal outputs and to provide an optical output that is generated in a nonlinear manner in response to the optical signal outputs of the optical matrix multiplier reaching saturation or attenuation. Additional embodiments may be described and claimed.
    Type: Grant
    Filed: November 17, 2020
    Date of Patent: January 4, 2022
    Assignee: Intel Corporation
    Inventors: Wenhua Lin, Amir Khosrowshahi, Casimir Wierzynski
  • Publication number: 20210133547
    Abstract: Techniques and configurations for an optical neural network (ONN) with layers of optical matrix multipliers and an optical nonlinearity function are described herein. The techniques provide for programmable matrix multipliers, allowing for a partitioned use of a part of a matrix as needed, for computation efficiency. The techniques provide for multiple pass-through the same optical matrix die on the same photonic integrated circuit (PIC) chip and for connecting multiple layers of the ONN and running through them in sequence. The techniques further provide for scaling the ONN to different sizes. Additional embodiments may be described and claimed.
    Type: Application
    Filed: November 17, 2020
    Publication date: May 6, 2021
    Inventors: Wenhua Lin, Amir Khosrowshahi, Casimir Wierzynski
  • Publication number: 20210135764
    Abstract: Embodiments of the present disclosure are directed toward techniques and apparatus comprising at least one layer of an ONN that includes an optical matrix multiplier provided in a semiconductor substrate to receive a plurality of optical signal inputs and to linearly transform the plurality of optical signal inputs into a plurality of optical signal outputs. The optical matrix multiplier comprises one or more 2×2 unitary optical matrices optically interconnected to implement a singular value decomposition (SVD) of a matrix, and a nonlinear optical device coupled with the optical matrix multiplier in the semiconductor substrate, to receive the optical signal outputs and to provide an optical output that is generated in a nonlinear manner in response to the optical signal outputs of the optical matrix multiplier reaching saturation or attenuation. Additional embodiments may be described and claimed.
    Type: Application
    Filed: November 17, 2020
    Publication date: May 6, 2021
    Inventors: Wenhua Lin, Amir Khosrowshahi, Casimir Wierzynski
  • Publication number: 20210132650
    Abstract: Embodiments of the present disclosure are directed toward techniques and configurations for a photonics integrated circuit (IC) for an optical neural network (ONN). In embodiments, the photonics IC includes monolithically optoelectronic components in a single semiconductor substrate including a combination of one or more of integrated array of light sources, a plurality of optical modulators, an optical unitary matrix multiplier, non-linear optical amplifiers or attenuators, and a plurality of photodetectors. In embodiments, the optical unitary matrix multiplier comprises a plurality of 2×2 unitary optical matrices optically interconnected, wherein each 2×2 unitary optical matrix comprises a plurality of phase shifters. In embodiments, each 2×2 unitary optical matrix is to phase shift, split, and/or combine one or more of the optical signal inputs. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: November 17, 2020
    Publication date: May 6, 2021
    Inventors: Wenhua Lin, Casimir Wierzynski, Amir Khosrowshahi, Bharadwaj Parthasarathy, Jin Hong, Robert Blum
  • Publication number: 20210097206
    Abstract: An example private processing pipeline may include: a masked decryption unit to perform a masked decryption operation transforming input data into masked decrypted data; a masked functional unit to produce a masked result by performing a masked operation on the masked decrypted data; and a masked encryption unit to perform a masked encryption operation transforming the masked result into an encrypted result.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 1, 2021
    Inventors: Casimir Wierzynski, Fabian Boemer, Rosario Cammarota
  • Publication number: 20180350086
    Abstract: Various systems and methods of dynamically filtering depth estimates to generate a volumetric map of a three-dimensional (3-D) environment having an adjustable maximum depth include obtaining sensor output including depth estimates and pose estimates in a robotic vehicle, detecting a condition that corresponds to an error level in the pose estimates, filtering the depth estimates obtained from the sensor output based on the detected condition, and generating the volumetric map of the 3-D environment using the filtered depth estimates. Filtering depth estimates obtained from the sensor output based on the detected condition may include adjusting a maximum depth parameter for generating the volumetric map. Further embodiments include a robotic vehicle and/or a computing device within a robotic vehicle including a processor configured with processor-executable instructions for controlling the maximum depth of a volumetric map of a 3-D environment.
    Type: Application
    Filed: August 14, 2017
    Publication date: December 6, 2018
    Inventors: Charles Wheeler SWEET, III, Casimir WIERZYNSKI
  • Patent number: 5699382
    Abstract: The invention is used to shape noise in time domain and frequency domain coding schemes. The method advantageously uses a noise weighting filter based on a filterbank with variable gains. A method is presented for decoding an encoded signal based on received side information and on a masking matrix derived from the masking properties of speech. In particular, the encoded signal is separated into subband signal components, each of which is multiplied by a corresponding gain value based on the masking matrix. These multiplied subband signal components are then combined to produce a decoded signal.
    Type: Grant
    Filed: November 12, 1996
    Date of Patent: December 16, 1997
    Assignee: Lucent Technologies Inc.
    Inventors: Yair Shoham, Casimir Wierzynski
  • Patent number: 5646961
    Abstract: The invention is used to shape noise in time domain and frequency domain coding schemes. The method advantageously uses a noise weighting filter based on a filterbank with variable gains. A method is presented for computing the gains in the noise weighting filterbank with filter parameters derived from the masking properties of speech. Illustrative embodiments of the method in various coding schemes are illustrated.
    Type: Grant
    Filed: December 30, 1994
    Date of Patent: July 8, 1997
    Assignee: Lucent Technologies Inc.
    Inventors: Yair Shoham, Casimir Wierzynski