Optical Neural Network by Disordered Tumor Spheroids
Davide Pierangeli, Valentina Palmieri, Giulia Marcucci, Chiara Moriconi, Giordano Perini, Marco De Spirito, Massimiliano Papi, Claudio Conti · 2019
Optical neuromorphic computing processes information at the speed of light, but requires a careful design and fabrication of the deep layers, which strongly hampers the development of large-scale photonic learning machines [1,2]. New paradigms, as reservoir computing [3], suggest that brain-inspired complex systems such as disordered and biological materials may realize artificial neural networks with thousands of computational nodes trained only at the input and at the readout.