Select Committee · Science and Technology Committee (Commons)
Low-energy computing
Status: Open
Opened: 16 Apr 2026
Inquiry scope
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.Oral evidence sessions
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| Date | Session and witnesses | Source |
|---|---|---|
| 17 Jun 2026 |
Low-energy computing
Professor Caterina Doglioni · University of Manchester,
Professor Eiman Kanjo · Nottingham Trent University,
Professor Martin Trefzer · University of York,
Professor Sergei Turitsyn · Aston Institute of Photonic Technologies
|
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Who gave evidence
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| Witness | Organisation | Sessions |
|---|---|---|
| Professor Caterina Doglioni · Professor of Particle Physics | University of Manchester | 1 |
| Professor Eiman Kanjo · Professor of TinyML | Nottingham Trent University | 1 |
| Professor Martin Trefzer · Professor of Bio-Inspired Systems and Technologies | University of York | 1 |
| Professor Sergei Turitsyn · Director | Aston Institute of Photonic Technologies | 1 |