Professor Tony Kenyon, Professor of Nanoelectronic & Nanophotonic Materials and Vice Dean (Strategy) in UCL Electronic and Electrical Engineering, has featured on the Curious podcast, discussing why energy efficiency, not raw intelligence, may be the defining challenge for the next generation of AI.
In the conversation, Professor Kenyon explores semiconductors, nanoelectronics and neuromorphic computing, the field of designing hardware that mimics the energy efficiency of the human brain rather than relying on ever-larger conventional architectures. The discussion covers the bottlenecks of power, memory and scale currently facing AI infrastructure, and what shape the next era of computing might take if today’s models become too energy-intensive to keep scaling.
Professor Kenyon is Director of Neuroware, the UK Innovation and Knowledge Centre for Neuromorphic Computing Hardware, and is also involved with Intrinsic, a UCL spinout commercialising memristive RRAM devices for next-generation semiconductor memory.
