Physicists create hybrid light-matter particles to replace electrons in AI cmpt
Researchers at the University of Pennsylvania have developed a hybrid light-matter particle that could revolutionize AI computing. This new technology aims to replace traditional electron-based processes with more efficient light-based systems. The breakthrough could significantly reduce energy consumption in AI applications while enhancing processing speed.
- ▪The new hybrid particle, called exciton-polariton, combines photons with electrons to improve signal switching for computing tasks.
- ▪Using this technology, researchers demonstrated all-light switching with an energy consumption of only 4 quadrillionths of a joule.
- ▪If scaled successfully, this approach could lead to photonic chips that process information directly from cameras without converting signals back to electricity.
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| Original publisher | ScienceDaily |
| Canonical URL | https://www.sciencedaily.com/releases/2026/05/260518041341.htm |
| Publication time | Sun, 24 May 2026 10:41:59 +0000 |
| Retrieval time | 2026-05-24T10:52:32.366Z |
| Last seen | 2026-05-24T10:52:32.366Z |
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Science News from research organizations Forget electrons, this breakthrough uses light-matter particles to power AI Penn scientists may have found a way to power the future of AI with light instead of electricity. Date: May 18, 2026 Source: University of Pennsylvania Summary: Researchers at Penn have created a hybrid light-matter particle that could dramatically speed up AI computing while using far less energy. The breakthrough may help replace some electronic computing processes with ultra-efficient light-based technology. Share: Facebook Twitter Pinterest LinkedIN Email FULL STORY In this illustration, light is coupled into a nanoscale cavity and interacts with an atomically thin material, creating exciton-polaritons.
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