This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Snap Inc.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Louis Rouillard-Odera: Innovator in Neural Network Processing
Introduction
Louis Rouillard-Odera is a prominent inventor based in Paris, France. He has made significant contributions to the field of neural network processing, holding a total of 2 patents. His work focuses on advancing technology that enhances the capabilities of neural networks.
Latest Patents
One of his latest patents is for a neural network processor and method of neural network processing. This invention includes a neural network processor comprising multiple layers, each containing processor elements with state registers. These elements are designed to transmit differential event messages based on changes in their state values. Another notable patent involves a method and system for classifying image content in a sequence of frames. This method converts frame image data into event data, allowing for the identification of regions of interest and classification based on image content.
Career Highlights
Louis Rouillard-Odera is currently employed at Snap Inc., where he continues to innovate in the field of neural networks. His work has the potential to impact various applications, including image recognition and processing.
Collaborations
He collaborates with talented individuals such as Orlando Miguel Pires Dos Reis Moreira and Amirreza Yousefzadeh, contributing to a dynamic and innovative work environment.
Conclusion
Louis Rouillard-Odera is a key figure in the advancement of neural network technology, with a focus on practical applications in image processing. His contributions are shaping the future of this exciting field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
