TEAM

Dovydas Joksas

Dovydas is a PhD student investigating physical implementations of artificial neural networks which could potentially reduce power consumption and computation time of many machine learning applications by orders of magnitude. He employs simulations to analyse how various non-idealities associated with resistive random-access memory devices would affect the performance of neural networks that are implemented physically using these devices.

Daniel Mannion

Horatio Cox

Sherif Ibrahim