Photonic delay systems have revolutionized the hardware implementation of Recurrent
Neural Networks and Reservoir Computing in particular. The fundamental principles of …

Deep learning has been revolutionizing information processing in many fields of science
and engineering owing to the massively growing amounts of data and the advances in deep …

Photonic reservoir computing is a new paradigm for performing high-speed prediction and
classification tasks in an efficient manner. The major challenge for the miniaturization of …

We propose a scheme for reservoir computing using multiple semiconductor lasers with
optical feedback arranged in parallel on a photonic integrated circuit, and we investigate the …

We experimentally investigate delay-based photonic reservoir computing using
semiconductor lasers with optical feedback and injection. We apply different types of …

The concept of reservoir computing emerged from a specific machine learning paradigm
characterized by a three-layered architecture (input, reservoir, and output), where only the …

A reservoir computing (RC) system based on a semiconductor laser (SL) with double optical
feedback and optical injection is proposed, and the prediction performance of such a system …

We report on the first numerical implementation of photonic reservoir computing (RC) based
on an optically pumped spin vertical-cavity surface-emitting laser (spin VCSEL) with optical …

We numerically and experimentally investigate reservoir computing based on a single
semiconductor laser with optical feedback modulation. In this scheme, an input signal is …

A novel Four-channels reservoir computing (RC) based on polarization dynamics in
mutually coupled vertical cavity surface emitting lasers (MDC-VCSELs) is proposed and …