Séminaire de l'équipe Photonique par Daniel Brunner

Mr Daniel Brunner, Chercheur au CNRS, interviendra sur le thème suivant : "Implementing a complete neural network using multimode semiconductor lasers". 

Résumé : 

Neural network (NN) concepts revolutionize computing by solving challenges previously thought to be reserved to the abstract intelligence of humans. However, the astonishing and substantial conceptual breakthroughs are so far not mirrored by advances in integrated hardware specialized in physically implementing NNs. For maximal efficiency, the largest fraction of a NN’s hardware should be dedicated to the core computational task, while auxiliary infrastructure should be pushed into the background. I will demonstrate a fully autonomous photonic NN based on a high-dimensional semiconductor laser that implements a scalable photonic NN fully in parallel and with minimal support by a classical digital computer. We achieve this by employing exclusively black-box, evolutionary optimization algorithms, and I will show that for real-world analog neural networks these hold substantial promises while removing the most critical block to truly hardware based realtime learning.

Le résumé est disponible ici.