Santa Clara, CA, United States of America

Avinash Vem

This inventor holds 1 USPTO granted patent. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Avinash Vem. Retrieved from https://idiyas.com/inventor/avinash-vem

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Avinash Vem: Innovator in Neural Network Technologies

Introduction

Avinash Vem is a prominent inventor based in Santa Clara, CA. He has made significant contributions to the field of neural networks, particularly in techniques for correcting prediction errors. His innovative approach has the potential to enhance the accuracy of machine learning models.

Latest Patents

Avinash holds a patent titled "Techniques for correcting prediction errors in neural networks." This patent describes a method involving one or more arithmetic logic circuits that partially train a neural network by replacing certain activations with ground truth data. This replacement is contingent on the accuracy of the predicted activations. The arithmetic logic circuits can be integrated into a processor or computer system, showcasing a practical application of his invention.

Career Highlights

Avinash is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technologies. His work at Nvidia allows him to be at the forefront of innovation in the tech industry. He has been instrumental in developing solutions that improve the performance of neural networks.

Collaborations

Avinash collaborates with talented individuals such as Prakash Gurumurthy and Mu-Heng Yang. Their combined expertise fosters a creative environment that drives technological advancements in their projects.

Conclusion

Avinash Vem is a key figure in the realm of neural network innovation. His contributions, particularly through his patent, demonstrate his commitment to enhancing machine learning technologies. His work at Nvidia Corporation and collaborations with esteemed colleagues further solidify his impact in the field.

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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