Company Filing History:
Years Active: 2014-2025
Title: Anthony Lambert: Innovator in Autonomous Systems
Introduction
Anthony Lambert is a notable inventor based in Reze, France. He has made significant contributions to the field of autonomous systems, holding a total of 3 patents. His work focuses on optimizing traffic and detecting routing anomalies within networks composed of autonomous systems.
Latest Patents
One of his latest patents is a method for optimizing traffic between autonomous systems. This method involves distributing traffic across a set of links that interconnect a local autonomous system with neighboring systems. The process includes receiving information about the characteristics of these neighboring systems, determining a reward function that represents the state of the links, and triggering actions based on this information to optimize traffic distribution. The actions are identified by an artificial intelligence that learns from successive results of the reward function.
Another significant patent by Lambert is a method for detecting routing anomalies between autonomous systems. This method detects anomalies in paths for routing data to an address prefix in a network. It involves receiving information about the paths, generating a matrix of path segments, and analyzing the similarity between these matrices to identify any discrepancies that may indicate a routing anomaly.
Career Highlights
Throughout his career, Anthony Lambert has worked with prominent companies such as Orange and France Telecom. His experience in these organizations has allowed him to develop innovative solutions that enhance the efficiency of network systems.
Collaborations
Some of his notable coworkers include Elkin Aguas and Doris Fejza. Their collaboration has contributed to the advancement of technologies in the field of autonomous systems.
Conclusion
Anthony Lambert's work in optimizing traffic and detecting anomalies in autonomous systems showcases his innovative spirit and dedication to advancing technology. His contributions are significant in shaping the future of network systems.