Reva, VA, United States of America

Terrence Leslie

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Natural Intelligence Systems, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Terrence Leslie. Retrieved from https://idiyas.com/inventor/terrence-leslie

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

USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Terrence Leslie and Neural Processing Innovation.

Introduction

Terrence Leslie is an inventor based in Reva, Virginia, whose patent work focuses on specialized hardware for machine learning. His listed patent count is 1 patent.

Latest Patents

Leslie is named on the patent “Neural Processing Units (NPUs) and Computational Systems Employing the Same.” The invention describes integrated circuits designed to accelerate machine-learning algorithms compared with conventional processing units. Its neural processing unit can include multiple computing components, each capable of independently determining the overlap between encoded input data and values stored in memory.

Career Highlights

The available information identifies Leslie’s work on neural processing hardware and lists Natural Intelligence Systems, Inc. as his company. The patent’s approach centers on distributing computational tasks across components to support efficient processing.

Collaborations

Leslie’s listed coworkers include Harold B. Noyes and David Roberts. They are associated with the same patent information provided for this profile.

Conclusion

Terrence Leslie’s documented invention addresses machine-learning performance through neural processing units that compare encoded data with stored values.

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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