Company Filing History:
Years Active: 2022-2023
Title: Dinesh Kumar Yadav: Innovator in Neural Network Convolution
Introduction
Dinesh Kumar Yadav is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of neural networks, particularly in the area of convolution methods. With a total of 2 patents, Yadav is recognized for his innovative approaches to enhancing neural network performance.
Latest Patents
Yadav's latest patents include a method and system of performing convolution in neural networks with a variable dilation rate. This method involves receiving the size of a first kernel and a dilation rate. It determines the size of one or more disintegrated kernels based on the first kernel's size, a baseline architecture of memory, and the dilation rate. The process also includes determining the address of one or more blocks of an input image based on the dilation rate and parameters associated with the input image and memory size. Subsequently, the blocks of the input image and disintegrated kernels are fetched from memory, leading to an output image obtained through convolution.
Career Highlights
Dinesh Kumar Yadav is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology. His work focuses on improving the efficiency and effectiveness of neural networks, making significant strides in the field.
Collaborations
Yadav collaborates with talented individuals such as Ankur Deshwal and Saptarsi Das. Together, they contribute to innovative projects that aim to advance technology in meaningful ways.
Conclusion
Dinesh Kumar Yadav is a notable inventor whose work in neural networks has the potential to transform the field. His innovative patents and collaborations reflect his commitment to advancing technology and improving neural network performance.