This Collection invites submissions of original research into hard- and software concepts that enable unconventional computing, contributing to the development of novel architectures and computational models that challenge and expand the boundaries of traditional computing.
Concepts for unconventional computing explore alternatives to traditional architectures, such as neuromorphic, optical, or bio-inspired systems. These approaches aim to harness unique physical properties and novel materials to solve complex problems with greater efficiency, adaptability, or parallelism. The focus is on developing innovative platforms and frameworks that hold promise for applications ranging from artificial intelligence and robotics to materials science and beyond.