The simultaneous advances in artificial neural networks and photonic integration
technologies have spurred extensive research in optical computing and optical neural …

Reservoir computing is a simplified recurrent neural network, which requires training only at
the output layer and hence significantly reduces the training cost. Time-delay reservoir …

Time-delay reservoir computing uses a nonlinear node associated with a feedback loop to
construct a large number of virtual neurons in the neural network. The clock cycle of the …

Photonic reservoir computing (PRC) is a special hardware recurrent neural network, which
is featured with fast training speed and low training cost. This work shows a wavelength …

Photonic time-delay reservoir computing (TDRC) using a self-injection locked
semiconductor laser under optical feedback from a narrowband apodized fiber Bragg …

Chaos, characterized by irregular, stochastic-like and occurring in deterministic systems, is
widely used in meteorology, life sciences, and physics. Precise chaos predictions are crucial …

Reservoir computing is a bio-inspired approach especially suited for processing time-
dependent information. In this work, we propose a hybrid reservoir computing scheme …

Near-infrared semiconductor lasers subject to optical feedback usually produce chaos with a
broad bandwidth of a few GHz. However, the reported mid-infrared interband cascade lasers …

We propose and numerically demonstrate a photonic time-delay reservoir computing
(TDRC) system exhibiting enhanced parallel task processing performance, where an …

Time delays play a significant role in dynamical systems, as they affect their transient
behavior and the dimensionality of their attractors. The number, values, and spacing of these …