This inventor holds 1 USPTO granted patent. Top assignee: Intel Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: The Innovative Mind of Ronen Gabbai
Introduction
Ronen Gabbai is a notable inventor based in Santa Clara, CA. He has made significant contributions to the field of technology, particularly in the area of graph neural networks. His work focuses on enhancing cache policies and compression schemes, which are crucial for efficient data processing.
Latest Patents
Ronen Gabbai holds a patent for a "Dynamically adjusted cache policy and compression scheme for graphs processed by graph neural networks." This innovative technology determines, with the help of a neural network, which nodes in a cache will be evicted based on a specific cache policy. The system ensures that a subset of nodes remains in the cache after the eviction process, thereby optimizing performance during aggregation operations executed on hardware accelerators. The technology also tracks cache hits to adjust the cache policy dynamically, enhancing the overall efficiency of data processing.
Career Highlights
Ronen Gabbai is currently employed at Intel Corporation, where he applies his expertise in developing advanced technologies. His work at Intel has positioned him as a key player in the innovation landscape, contributing to the company's reputation for cutting-edge research and development.
Collaborations
Throughout his career, Ronen has collaborated with talented individuals such as Amit Bleiweiss and Ohad Falik. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.
Conclusion
Ronen Gabbai's contributions to the field of technology, particularly through his patent and work at Intel Corporation, highlight his innovative spirit and dedication to advancing the capabilities of graph neural networks. His work continues to influence the industry and pave the way for future innovations.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
