Brain-inspired Approaches for Energy-efficient Computing

The panel discussion in association with NeuMat will delve into the latest advancements in neuromorphic materials and devices for AI hardware. Experts will share insights on developing artificial neurons and synapses, and their integration into energy-efficient AI systems. The session will highlight challenges and opportunities in this field, fostering innovation and collaboration between UK academia and industry.

Panel:

• Judith L. Driscoll (Chair), Department of Materials Science and Metallurgy, University of Cambridge
• Andrew Mallinson, Intel
• Adnan Mehonic, UCL
• Steve Furber, University of Manchester