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Low-energy computing

Inquiry

AI model sizes and data volumes are growing significantly. At the same time, areas like quantum computing and protein synthesis also require increasing amounts of computational power.

This trend is exerting increasing demands on energy supplies, and it has been suggested that new innovations in silicon photonics and neuromorphic computing could offer a solution. 

The Science, Innovation and Technology committee is examining how realistic a possibility this is, when breakthroughs might be expected to take place and what the government is doing to support research and innovation activity in this area.

This inquiry has been launched following pitches made to the committee as part of its Under the Microscope initiative. 

This inquiry is no longer accepting evidence

The deadline for submissions was 11:59pm on 14 May 2026.

Oral evidence transcripts

View all oral evidence transcripts
17 June 2026
Inquiry Low-energy computing
Witnesses Professor Eiman Kanjo (Professor of TinyML at Nottingham Trent University), and Professor Sergei Turitsyn (Director at Aston Institute of Photonic Technologies)
Oral Evidence
17 June 2026
Inquiry Low-energy computing
Witnesses Professor Caterina Doglioni (Professor of Particle Physics at University of Manchester), and Professor Martin Trefzer (Professor of Bio-Inspired Systems and Technologies at University of York)
Oral Evidence
The Institute of Photonics at the University of Strathclyde (LEC0031)
Department for Science, Innovation and Technology (LEC0030)
ECS Centre for Neuromorphic Technologies (CeNT), University of Southampton (LEC0029)

Other publications

No other publications published.

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