Policy brief: Neuromorphic computing: Enabling a future AI world?

This briefing outlines how neuromorphic computing could enable a future AI world.

This briefing outlines how neuromorphic computing could enable a future AI world: by reducing the energy required for computing, improving computational capability and capacity, and through enabling increased on-device computing power. 

Download the Neuromorphic computing: Enabling a future AI world? policy brief [PDF]

Accessible web version of the policy brief 

Neuromorphic computers are inspired by biology. They are designed to mimic the neural systems found in the human brain. Neuromorphic chips operate in a fundamentally different way to the silicon chips found in traditional computers.

Funder

EPSRC, the Royal Academy of Engineering and the Leverhulme trust.

Lead researchers

Professor Tony Kenyon and Dr Adnan Mehonic (UCL Electronic and Electrical Engineering)

Output type

Policy brief

PIU lead

Florence Greatrix