Chris Martin

Title: Innovations of Chris Martin in Deep Neural Networks

Introduction

Chris Martin is an accomplished inventor based in Leighton Buzzard, GB. He has made significant contributions to the field of deep neural networks, holding a total of four patents. His work focuses on hardware implementations that enhance the efficiency and functionality of neural networks.

Latest Patents

One of Chris Martin's latest patents is titled "Hardware implementation of a deep neural network with variable output data format." This patent describes hardware implementations and methods that allow a deep neural network (DNN) to process input data in a specific format based on the layer being processed. The hardware is designed to perform multiple passes, receiving input data for a particular layer and outputting processed data in the desired format.

Another notable patent is "Hardware implementation of convolutional layer of deep neural network." This invention involves hardware implementations and methods for processing a convolution layer of a DNN. It includes multiple convolution engines that efficiently handle input data and weights, allowing for optimized calculations in filter-window processing.

Career Highlights

Chris Martin works at Imagination Technologies Limited, where he continues to innovate in the field of deep learning and hardware design. His expertise in developing hardware solutions for neural networks has positioned him as a key player in advancing technology in this area.

Collaborations

Throughout his career, Chris has collaborated with talented individuals such as David Hough and Clifford Gibson. These partnerships have contributed to the successful development of his patents and innovations.

Conclusion

Chris Martin's work in deep neural networks exemplifies the intersection of hardware and artificial intelligence. His patents reflect a commitment to enhancing the capabilities of neural networks through innovative hardware solutions.