This inventor holds 1 USPTO granted patent. Top assignee: Synopsys, Inc.. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: The Innovative Mind of Bruno Lavigueur
Introduction
Bruno Lavigueur is a notable inventor based in Ottawa, Canada. He has made significant contributions to the field of embedded applications, particularly in the realm of neural networks. His work focuses on creating efficient architectures that cater to the demands of modern computational tasks.
Latest Patents
Lavigueur holds a patent for a "Configurable and programmable multi-core architecture with a specialized instruction set for embedded application based on neural networks." This innovative architecture is designed to support various applications of convolutional neural networks (CNNs) by allowing reprogramming of the processing elements. It offers a low-area footprint and low-power solution, making it ideal for embedded applications that require intensive computational capabilities, such as processing video streams in real time.
Career Highlights
Bruno Lavigueur is currently employed at Synopsys, Inc., where he continues to push the boundaries of technology. His work is characterized by a commitment to developing solutions that meet the growing needs of the industry. With a focus on optimizing performance while minimizing resource consumption, Lavigueur has established himself as a key player in the field.
Collaborations
Some of Lavigueur's notable coworkers include Vincent Gagné and Olivier Benny. Their collaborative efforts contribute to the innovative environment at Synopsys, Inc., fostering advancements in technology and research.
Conclusion
Bruno Lavigueur's contributions to the field of neural networks and embedded applications highlight his innovative spirit and dedication to technology. His patent and work at Synopsys, Inc. reflect a commitment to developing efficient solutions for complex computational challenges.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
