This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ashutosh Pavagada Visweswara: Innovator in AI Resource Optimization
Introduction
Ashutosh Pavagada Visweswara is a notable inventor based in Karnataka, India. He has made significant contributions to the field of artificial intelligence, particularly in optimizing resource utilization in embedded computing systems. His innovative approach has the potential to enhance the efficiency of AI applications.
Latest Patents
Ashutosh holds a patent titled "Method and system for predicting and optimizing resource utilization of AI applications in an embedded computing system." This patent discloses a method and an optimization unit designed to improve the efficiency of resource utilization in embedded systems executing AI applications. The method involves detecting the launch of an AI application, retrieving a runtime profile that indicates resource requirements, and configuring the runtime environment accordingly.
Career Highlights
Ashutosh is currently employed at Samsung Electronics Co., Ltd., where he applies his expertise in AI and embedded systems. His work focuses on developing innovative solutions that enhance the performance and efficiency of AI applications.
Collaborations
Some of his notable coworkers include Pallavi Thummala and Chirag Girdhar, who contribute to the collaborative efforts in advancing technology at Samsung.
Conclusion
Ashutosh Pavagada Visweswara is a pioneering inventor whose work in optimizing AI resource utilization is shaping the future of embedded computing systems. His contributions are vital in the ongoing evolution of artificial intelligence technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
