This inventor holds 3 USPTO granted patents and 1 published patent application and 3 EPO patents. Top assignee: Samsung Electronics Co., Ltd.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Abhinav Mehrotra: Innovator in Neural Network Conditioning
Introduction
Abhinav Mehrotra is a prominent inventor based in Staines, GB. He has made significant contributions to the field of artificial intelligence, particularly in the area of neural networks. His innovative work focuses on improving the performance and efficiency of these networks, making them more suitable for practical applications.
Latest Patents
Abhinav holds a patent for a "Method and apparatus for conditioning neural networks." This patent outlines techniques that enhance the generalizable performance of conditional neural networks while also reducing their model size and latency. The resulting conditioned neural network is particularly advantageous for on-device deployment, as it requires significantly less dynamic memory and operates with lower latency.
Career Highlights
Abhinav is currently employed at Samsung Electronics Co., Ltd., where he continues to push the boundaries of technology. His work at Samsung has allowed him to collaborate with leading experts in the field and contribute to groundbreaking advancements in neural network technology.
Collaborations
Some of his notable coworkers include Sourav Bhattacharya and Alberto Gil C P Ramos. Their collective expertise fosters an environment of innovation and creativity, driving forward the development of advanced technologies.
Conclusion
Abhinav Mehrotra's contributions to neural network conditioning exemplify the intersection of innovation and practical application in technology. His work not only enhances the capabilities of artificial intelligence but also paves the way for more efficient and effective solutions in various industries.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
