This inventor holds 4 USPTO granted patents. Top assignee: Thomson-Csf. Active years: 1994-1995.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1994-1995
Title: The Innovative Mind of Gilles Burel
Introduction
Gilles Burel is a prominent inventor based in Rennes, France. He has made significant contributions to the field of neural networks, particularly in image analysis and processing. With a total of 4 patents to his name, Burel's work continues to influence advancements in technology.
Latest Patents
One of Burel's latest patents is an "Internal connection method for neural networks." This method provides a way to link successive neuron layers, which is particularly useful in image analysis and signal processing. The output states of a new neuron layer are represented by functions obtained through this method. A weighted summation of functions representing the output state of a neuron from a preceding layer is performed, followed by the application of a saturation function. Ultimately, a function is outputted that represents the output state of the neuron layer. Another notable patent is the "Method of picture compression by auto-organisation of a neural network," which showcases his innovative approach to data processing.
Career Highlights
Gilles Burel is associated with Thomson-Csf, a company known for its advancements in technology and innovation. His work at the company has allowed him to explore and develop groundbreaking methods in neural networks.
Collaborations
Burel has collaborated with notable colleagues, including Isabelle Pottier and Jean-Yves Catros. These partnerships have contributed to the success of his projects and the advancement of their shared goals in technology.
Conclusion
Gilles Burel's contributions to the field of neural networks and image processing highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving how we process and analyze information.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
