Cambridge, Morocco

Krishna Murthy Jatavallabhula

This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Krishna Murthy Jatavallabhula. Retrieved from https://idiyas.com/inventor/krishna-murthy-jatavallabhula

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations of Krishna Murthy Jatavallabhula

Introduction

Krishna Murthy Jatavallabhula is an accomplished inventor based in Cambridge, MA. He has made significant contributions to the field of machine learning and artificial intelligence. His work focuses on developing advanced techniques for updating machine learning models.

Latest Patents

One of his notable patents is titled "Predicting object models." This patent encompasses apparatuses, systems, and techniques to update a machine learning model associated with an object. In at least one embodiment, the machine learning model is updated based at least in part on one or more distributions associated with the machine learning model. This innovation showcases his expertise in enhancing the capabilities of machine learning systems.

Career Highlights

Krishna Murthy Jatavallabhula is currently employed at Nvidia Corporation, a leading company in the field of graphics processing and artificial intelligence. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of what is possible in machine learning.

Collaborations

Throughout his career, he has collaborated with talented individuals such as Fabio Tozeto Ramos and Animesh Garg. These collaborations have contributed to the advancement of innovative solutions in the tech industry.

Conclusion

Krishna Murthy Jatavallabhula is a prominent inventor whose work in machine learning continues to influence the field. His patent on predicting object models exemplifies his commitment to innovation and excellence.

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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