The Science, Innovation and Technology Committee holds the first evidence session of its inquiry into whether low-energy computing could help to meet growing energy demands from increased use of AI.
\r\nAn emerging area of innovation – neuromorphic photonics, which combines silicon photonics with neuromorphic computing principles – has been highlighted as a potential solution to tackle the energy burden of AI.
\r\nThe committee initially heard about this idea during its “Under the Microscope” engagement exercise.
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In the first panel, the cross-party committee will hear from academics on AI-related energy demands, the UK’s funding approach to low-energy computing and the deployment of these computing capabilities.
\r\nIn the second panel, MPs will talk to experts and explore views on edge AI, the potential impact of low-energy computing on AI-related energy demands and the government’s new AI Hardware Plan.
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