In collaboration with the Neuromorphic Quantumphotonics Group led by Wolfram Pernice, among other collaborators, the Hardware and Artificial Intelligence Lab published an article about “Probabilistic photonic computing with chaotic light” in Nature Communications. As a Bayesian Machine, this approach substantially reduces the costs associated with Bayesian Neural Networks, hopefully paving a way to new approaches to learned uncertainties in machine learning. Read more
