Jongse Park

Title: Innovations by Jongse Park in Neural Network Optimization

Introduction

Jongse Park is an accomplished inventor based in Mountain View, CA. He has made significant contributions to the field of neural networks, particularly in optimizing hardware accelerators for improved performance. His innovative work focuses on enhancing the efficiency of neural network training processes.

Latest Patents

Jongse Park holds a patent for "Systems, apparatus, methods, and architectures for a neural network workflow to generate a hardware accelerator." This patent encompasses methods, systems, apparatus, and circuits designed to dynamically optimize circuits for both forward and backward propagation phases of training neural networks, all while adhering to a fixed resource budget. The specialized circuits he developed can handle multi-dimensional inputs and weights during forward propagation and can operate on gradients and inputs or gradients and weights during backward propagation. The method includes several steps: analyzing operations and precision, sampling zero-valued activations and gradients, scheduling runtime estimations, and applying optimal resource breakdowns to enhance future neural network training iterations.

Career Highlights

Jongse Park is currently employed at Bigstream Solutions, Inc., where he continues to push the boundaries of technology in neural network optimization. His work has garnered attention for its innovative approach to improving the efficiency of machine learning processes.

Collaborations

Jongse collaborates with Hardik Sharma, contributing to advancements in their field through shared expertise and innovative ideas.

Conclusion

Jongse Park's contributions to neural network optimization exemplify the impact of innovative thinking in technology. His patent and ongoing work at Bigstream Solutions, Inc. highlight his commitment to enhancing machine learning efficiency.