Hardik Sharma

Title: Innovations by Hardik Sharma in Neural Network Optimization

Introduction

Hardik Sharma is an innovative 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 work focuses on enhancing the efficiency of neural network training processes.

Latest Patents

Hardik Sharma holds a patent for "Systems, apparatus, methods, and architectures for a neural network workflow to generate a hardware accelerator." This patent outlines 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 operate on multi-dimensional inputs and weights during forward propagation, as well as gradients and inputs or weights during backward propagation. The patent also details a comprehensive method that includes analysis, sampling, scheduling, and resource budgeting to enhance the execution of neural network training.

Career Highlights

Hardik Sharma is currently employed at Bigstream Solutions, Inc., where he continues to push the boundaries of technology in the field of artificial intelligence and machine learning. His work is instrumental in developing solutions that improve the efficiency and effectiveness of neural network training.

Collaborations

Hardik collaborates with Jongse Park, leveraging their combined expertise to drive innovation in their projects.

Conclusion

Hardik Sharma's contributions to neural network optimization through his patent and work at Bigstream Solutions, Inc. highlight his role as a key innovator in the field. His advancements are paving the way for more efficient artificial intelligence applications.