Mechanical mechanisms have been used to process information for millennia, with famous
examples ranging from the Antikythera mechanism of the Ancient Greeks to the analytical …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

Aside from some living tissues, few materials can autonomously learn to exhibit desired
behaviors as a consequence of prolonged exposure to unanticipated ambient loading …

Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …

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) …

Conventionally, engineers have employed rigid materials to fabricate precise, predictable
robotic systems, which are easily modelled as rigid members connected at discrete joints …

We review a novel paradigm that has emerged in analogue neuromorphic optical
computing. The goal is to implement a reservoir computer in optics, where information is …

A critical aspect of evolution is the layer of developmental physiology that operates between
the genotype and the anatomical phenotype. While much work has addressed the evolution …

Cilia and flagella are fundamental units of motion in cellular biology. These beating, hair-like
organelles share a common basic structure but maintain widely varying functions in systems …

The physical characteristics of animals' bodies are substantially different from those of
classic robots. Elastic tendons, ligaments, and muscles enable animals to robustly interact …