New York, NY, United States of America

Juergen Bross

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Juergen Bross. Retrieved from https://idiyas.com/inventor/juergen-bross

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: Juergen Bross: Inventor of a Smart Caching Policy

Introduction

Juergen Bross is an inventor based in New York, New York. His patent work includes a method for caching key-value vectors generated from fixed prefixes by a large language model. He is associated with International Business Machines Corporation.

Latest Patents

Bross is credited with 1 patent, titled “Caching Policy to Cache Key-Value Vectors.” The invention describes systems and methods that access requests containing a fixed prefix and variable data, then selectively store key-value vectors generated by processing the fixed prefix with a large language model. The caching decision is based on whether a temporal moving average for the fixed prefix exceeds a defined threshold, as part of a smart encoding policy.

Career Highlights

The patent reflects work at the intersection of artificial intelligence and computer systems. Its caching policy is designed to manage reusable information associated with fixed prefixes, potentially supporting more efficient processing of requests.

Collaborations

Bross’s listed coworkers include Haode Qi and Gengyu Wang. The patent is associated with International Business Machines Corporation.

Conclusion

Juergen Bross’s patent focuses on a threshold-based approach to caching key-value vectors for large language model requests, connecting his work with IBM’s innovations in computing and 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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