Seneca Falls, NY, United States of America

Lennard G Streat

USPTO Granted Patents = 4 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2018-2020

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: Innovations of Lennard G Streat

Introduction

Lennard G Streat is a notable inventor based in Seneca Falls, NY (US). He has made significant contributions to the field of technology, particularly in memory management systems. With a total of 4 patents to his name, Streat continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Memory page eviction using a neural network." This invention discloses an apparatus, method, program product, and system for evicting pages from memory using a neural network. The method involves determining state information related to evicting pages from memory, which can be gathered by a dedicated hardware snooping device that monitors a system bus. The neural network performs machine learning operations on the state information to identify which page in memory should be evicted. Once identified, the method locates the page using the identifier determined by the neural network and proceeds to evict it from memory.

Career Highlights

Lennard G Streat is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in developing advanced technological solutions. His work focuses on enhancing memory management through innovative approaches.

Collaborations

Streat has collaborated with notable colleagues, including Mahesh P Bhat and Paul Gerver, contributing to various projects that aim to improve technology in the industry.

Conclusion

Lennard G Streat's contributions to the field of technology, particularly in memory management, highlight his innovative spirit and dedication to advancing the industry. His work continues to inspire future developments in the realm of artificial intelligence and machine learning.

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