Company Filing History:
Years Active: 2025
Title: Alfred Laugros: Innovator in Neural Network Robustness Evaluation
Introduction
Alfred Laugros is a notable inventor based in Grenoble, France. He has made significant contributions to the field of neural networks, particularly in evaluating their robustness against image disturbances. His innovative approach has implications for various applications in image processing and artificial intelligence.
Latest Patents
Alfred Laugros holds a patent for a method, computer program, and device designed to evaluate the robustness of a neural network against image disturbances. The patent describes a method that determines a robustness score for the neural network for each disturbance in a group of at least two different disturbances found in images. It also involves calculating an overall robustness score based on individual robustness scores and similarity scores between disturbances. This invention is crucial for enhancing the reliability of neural networks in real-world applications.
Career Highlights
Alfred Laugros is associated with Bull SAS, a company known for its expertise in information technology and computing solutions. His work at Bull SAS has allowed him to focus on advancing technologies that improve the performance and reliability of neural networks.
Collaborations
Due to space constraints, the collaborations section will be omitted.
Conclusion
Alfred Laugros is a pioneering inventor whose work on neural network robustness evaluation is shaping the future of image processing technologies. His contributions are vital for the advancement of artificial intelligence applications.