Collection 

Novel hardware and concepts for unconventional computing

The potential of machine learning can only be fully exploited if more efficient hardware is developed that meets the special needs of bio-inspired computing schemes. In this respect, non-volatile memory technology using memristive devices in combination with neuromorphic systems is a promising way to such hardware. This Collection provides a platform for interdisciplinary research on unconventional computing with new physical substrates.

inside of a computer

Editors

Editorial

Memristive Devices and Materials

Cellular learning paradigms ā€“ Emulation of basic building blocks

Network schemes ā€“ Computing schemes