Science, Innovation and Technology Committee

17 June 2026

Science, Innovation and Technology Committee House of Commons

00:02 - 01:44
Speaker 2
Order, order.  Welcome to today's meeting of the Science, Innovation and Technology Select Committee.  As the leaders of the G7 meet with the CEOs of the world's most powerful AI companies, I'm sure energy consumption will be on the agenda.  And so it's really timely that today is the first session of our new inquiry looking at the future of compute in terms of power and capacity, specifically whether emerging innovations in low-energy computing can support more sustainable use of artificial intelligence and machine learning tools.  Now I just want to say that we launched this inquiry following pitches to our Under the Microscope initiative, and we received over 30 pieces of written evidence, so a big thank you to everyone who took the time to contribute. 

Now today we will be looking at the science underpinning advances in neuromorphic computing and silicon photonics in particular, and we are particularly interested to hear how well positioned the UK is to ensure research breakthroughs can be translated into world, real-world applications.  So a big welcome to my panel, and I'm going to ask each of you in turn, starting with Professor Trefzer, to introduce yourself, your area of research, and to define or explain for us what neuromorphic computing is, and particularly for me, actually, I'm interested how it differs from neural networks.  So Professor Trefzer, over to you. 
01:44 - 02:22
Speaker 3
Yep, great.  Um, yes, good morning, thank you very much, and I'm, I'm glad to be here.  I'm representing the academic community.  I'm with the University of York, with the School of Physics, Engineering and Technology.  And in this context, obviously I'm, I'm focusing on my own research areas, which are around bio-inspired and neuromorphic computing, and in particular with applications in what we call on-sensor computing. 

I'm interested in autonomous systems, online learning, self-learning, and fault tolerance as well, with an underpinning of microelectronics as a, as a tool to, to build systems. 

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