Mountain View, CA, United States of America

Hari Narasimhan

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hari Narasimhan. Retrieved from https://idiyas.com/inventor/hari-narasimhan

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 19.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Hari Narasimhan

Introduction

Hari Narasimhan is an accomplished inventor based in Mountain View, CA (US). He is known for his contributions to the field of generative models, particularly in enhancing computational efficiencies. His work has significant implications for reducing latency and conserving computational resources in various applications.

Latest Patents

Hari Narasimhan holds a patent titled "Dynamic selection from among multiple candidate generative models with differing computational efficiencies." This patent discloses methods for selecting a particular generative model from multiple candidates in response to a request. The implementations aim to reduce latency and conserve computational resources by choosing a more efficient generative model for specific requests. Additionally, the patent addresses the need to utilize less efficient models selectively to ensure the accuracy and completeness of generated responses.

Career Highlights

Hari Narasimhan is currently employed at Google Inc., where he continues to innovate in the field of artificial intelligence and machine learning. His work focuses on improving the performance and efficiency of generative models, which are crucial for various applications in technology today.

Collaborations

Hari collaborates with talented individuals in his field, including his coworker Seungyeon Kim. Their combined expertise contributes to the advancement of generative model technologies.

Conclusion

Hari Narasimhan's innovative work in generative models exemplifies the importance of efficiency in technology. His contributions are paving the way for more effective and resource-conscious applications in artificial intelligence.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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