Sharath Nittur Sridhar

Title: Innovations by Sharath Nittur Sridhar

Introduction

Sharath Nittur Sridhar is an accomplished inventor based in San Diego, CA. He has made significant contributions to the field of machine learning and artificial intelligence. With a focus on energy efficiency and hardware-aware systems, his work is paving the way for advancements in technology.

Latest Patents

Sharath holds 2 patents that showcase his innovative approach. His first patent is titled "Machine learning model scaling system with energy efficient network data transfer for power aware hardware." This patent introduces a machine learning model swap (MLMS) framework that selects and interchanges machine learning models in an energy and communication-efficient manner. The framework adapts to real-time changes in system constraints, ensuring optimal performance. The second patent, "Hardware-aware machine learning model search mechanisms," describes a framework for efficiently finding machine learning architectures that generalize well across various AI and ML domains. This system performs a multi-objective ML architecture search, taking into account hardware-specific performance metrics.

Career Highlights

Sharath is currently employed at Intel Corporation, where he continues to develop cutting-edge technologies. His work focuses on enhancing machine learning systems to be more efficient and adaptable to changing environments.

Collaborations

Sharath collaborates with talented individuals such as Anthony Sarah and Daniel Cummings, contributing to a dynamic and innovative work environment.

Conclusion

Sharath Nittur Sridhar's contributions to machine learning and artificial intelligence are noteworthy. His patents reflect a commitment to advancing technology in energy efficiency and adaptability. His work at Intel Corporation positions him as a key player in the future of AI and ML innovations.