Inventor profile of:

Christopher Martin

City:

Leighton Buzzard

Country:

United Kingdom

Published Applications:

16

Last publication date:

2025-12-25

Top Assignees for applications by Christopher Martin

The entities that hold a legal rights for patent applications filed by inventor Martin Christopher:

Recent patent applications by Martin Christopher

Christopher Martin from Leighton Buzzard, GB has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2025-12-25
US20250390311A1
Physics

Hardware Unit for Performing Matrix Multiplication with Clock Gating

#2 | 2025-09-25
US20250299034A1
Physics

Activation Functions for Deep Neural Networks

#3 | 2025-02-27
US20250068898A1
Physics

NEURAL NETWORK ARCHITECTURE USING SINGLE PLANE FILTERS

#4 | 2024-11-21
US20240386261A1
Physics

NEURAL NETWORK ARCHITECTURE USING CONVOLUTION ENGINES

#5 | 2023-07-06
US20230214631A1
Physics

Neural network architecture using single plane filters

#6 | 2023-06-15
US20230186062A1
Physics

Neural network architecture using convolution engines

#7 | 2023-05-18
US20230153593A1
Physics

Neural network architecture using control logic determining convolution operation sequence

#8 | 2023-02-09
US20230041966A1
Physics

Activation Functions for Deep Neural Networks

#9 | 2022-08-11
US20220253319A1
Physics

Hardware Unit for Performing Matrix Multiplication with Clock Gating

#10 | 2022-02-17
US20220051087A1
Physics

Neural network architecture using convolution engine filter weight buffers

#11 | 2019-07-25
US20190227807A1
Physics

Hardware unit for performing matrix multiplication with clock gating

#12 | 2019-05-16
US20190147327A1
Physics

Neural network architecture using convolution engine filter weight buffers

#13 | 2019-05-16
US20190147326A1
Physics

Neural network architecture using single plane filters

#14 | 2019-05-16
US20190147325A1
Physics

Neural network architecture using control logic determining convolution operation sequence

#15 | 2019-05-16
US20190147324A1
Physics

Neural network architecture using convolution engines

#16 | 2019-05-16
US20190147323A1
Physics

Method and apparatus for implementing a deep neural network performing an activation function

InventorID:

2503597 ⎘