Company Filing History:
Years Active: 2025
Title: The Innovations of Raymond Jit-Hung Sung
Introduction
Raymond Jit-Hung Sung is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of deep neural networks through his innovative patent. His work focuses on enhancing the efficiency of neural network operations, which is crucial in the rapidly evolving tech landscape.
Latest Patents
Raymond Sung holds a patent titled "System and method for balancing sparsity in weights for accelerating deep neural networks." This patent describes an apparatus designed to access a weight vector of a layer in a sequence of layers within a deep neural network (DNN). The weight vector consists of a first sequence of weights with varying values. A bitmap is generated based on this weight vector, which includes a second sequence of bitmap elements. Each bitmap element corresponds to a different weight and is valued based on the corresponding weight's value. The index of each bitmap element matches the index of the corresponding weight in the first sequence. A new bitmap is created by rearranging the bitmap elements based on their values, leading to a rearranged weight vector that is divided into subsets. Each subset is assigned to a different processing element (PE) for a multiply-accumulate (MAC) operation. This innovative approach significantly enhances the performance of deep neural networks.
Career Highlights
Raymond Sung is currently employed at Intel Corporation, where he continues to push the boundaries of technology. His work at Intel has allowed him to collaborate with some of the brightest minds in the industry, contributing to advancements in artificial intelligence and machine learning.
Collaborations
Raymond has worked alongside talented colleagues such as Arnab Raha and Debabrata Mohapatra. Their collaborative efforts have fostered an environment of innovation and creativity, leading to groundbreaking developments in their respective fields.
Conclusion
Raymond Jit-Hung Sung's contributions to the field of deep neural networks exemplify the spirit of innovation. His patent and work at Intel Corporation highlight the importance of advancing technology for future applications.