This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …

The ever‐increasing processing power demands of digital computers cannot continue to be
fulfilled indefinitely unless there is a paradigm shift in computing. Neuromorphic computing …

Peptides have higher information density than DNA and equivalent molecular recognition
ability and durability. However, there are currently no reports on the comprehensive use of …

Magnetic fluids are excellent candidates for several important research fields including
energy harvesting, biomedical applications, soft robotics, and exploration. However …

To achieve better performance of a diffractive deep neural network, increasing its spatial
complexity (neurons and layers) is commonly used. Subject to physical laws of optical …

This review essay analyzes the book by Giuseppe Primiero, On the foundations of
computing. Oxford: Oxford University Press (ISBN 978-0-19-883564-6/hbk; 978-0-19 …

We study swarms as dynamical systems for reservoir computing (RC). By example of a
modified Reynolds boids model, the specific symmetries and dynamical properties of a …

Increasing the layer number of on-chip photonic neural networks (PNNs) is essential to
improve its model performance. However, the successive cascading of network hidden …

The value of neuromorphic computers depends crucially on our ability to program them for
relevant tasks. Currently, neuromorphic computers are mostly limited to machine learning …

By utilizing biologically inspired approaches, a wide range of complex and computationally
intensive problems can be transformed to simpler and more appropriate forms to be easily …