LION: Large Intelligent Optical Networks

SNSF Sinergia

Welcome to LION – where optics meets artificial intelligence to push energy and speed efficiency in the neural network computing. Reservoir computing and extreme learning machines are two remarkable paradigms that harness the power of large, fixed nonlinear operators alongside smaller, tunable processors. While they have shown their potential in specific scenarios, they have yet to reach the performance levels of deep, fully trained multilayer networks.
Our project at LION centers around a common thread: enhancing reservoir computing through additional training, elevating its performance while maintaining a streamlined parameter structure compared to conventional multilayer networks.

Our Goal:
At LION, our mission is to revolutionize the way we harness the potential of machine learning. We are dedicated to programming both linear and non-linear optical transforms within novel optical computing framework using a minimal set of parameters. Our innovative approach aims to develop a robust algorithmic framework along with the hardware that enables complex machine learning tasks, all powered by these programmable transforms.



Prof. Christophe Moser Prof. Sylvain Gigan Prof. Niao He
Prof. Daniel Brunner Prof. Rachel Grange





Kickoff meeting – Grange.
Kickoff meeting – Yildirim.


Yildirim M., Oguz I., Kaufmann F., Escalé M. R., Grange R., Psaltis D., Moser C., Nonlinear optical feature generator for machine learning, APL Photonics 8, 106104 (2023). doi: 10.1063/5.0158611.