Our “machine learning with nonlinear waves” paper featured in Physics!

Riding waves in Neuromorphic Computing, Marios Mattheakis highlights with a thoughtful viewpoint our recent paper in PRL on the artificial intelligence of nonlinear waves.

Machine Learning Photonics Workshop in Como

3 February 2020

Lake Como School of Advanced Photonics NEW DATE: MARCH 15-19, 2021 The school brings together experts in emerging photonic technologies, machine learning techniques, and fundamental physics who will share with young researchers their knowledge and interdisciplinary approaches for understanding and designing complex photonic systems and their practical applications. In the new era of artificial intelligence, algorithms and computational interfaces are broadly emerging as novel tools to do scientific research.

Quantum Gravity Slingshot

10 May 2018

Modified uncertainty principle and non-commutative variables may phenomenologically account for quantum gravity effects, independently of the considered theory of quantum gravity. We show that quantum fluids enable experimental analogs and direct tests of the modified uncertainty principle expected to be valid at the Planck scale. We consider a quantum clock realized by a long-lasting quantum fluid wave-packet orbiting in a trapping potential.