Neuromorphic computing

Neuromorphic computing might be the answer to AI’s hardware problem.

Neuromorphic engineering attempts to create brain-like computing hardware and has helped reawaken interest in computer chip start-ups. But is the technology ready for mainstream application?

Neuromorphic engineering aims to create computing hardware that mimics biological nervous systems, and it is expected to play a key role in the next era of hardware development. Carver Mead recounts how it all began.

This Review Article examines the development of spintronic devices for neuromorphic computing, exploring how magnetic tunnel junctions and magnetic textures can act as artificial neurons and synapses, as well as considering the challenges that exist in scaling up current systems.

This Review Article examines the development of neuro-inspired computing chips and their key benchmarking metrics, providing a co-design tool chain and proposing a roadmap for future large-scale chips.

This Review Article examines the development of organic neuromorphic devices, considering the different switching mechanisms used in the devices and the challenges the field faces in delivering neuromorphic computing applications.

This Review Article examines the development of in-memory computing using resistive switching devices.