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Reversible computing could help solve AI’s looming energy crisis
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This episode of the Physics World Weekly podcast features Hannah Earley, a mathematician and physicist who is chief technical officer and co-founder of Vaire Computing.
The company is developing hardware for reversible computing, a paradigm with the potential to reduce significantly the energy required to do computations – which could be a boon for power-hungry applications like artificial intelligence.
In a conversation with Physics World’s Margaret Harris, Earley talks about the physics, engineering and commercialization of reversible computing. They also chat about the prototype chips that Vaire is currently working on and the company’s plans for the future.
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Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 02, 2025 14:25 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 490985342 series 2639991
This episode of the Physics World Weekly podcast features Hannah Earley, a mathematician and physicist who is chief technical officer and co-founder of Vaire Computing.
The company is developing hardware for reversible computing, a paradigm with the potential to reduce significantly the energy required to do computations – which could be a boon for power-hungry applications like artificial intelligence.
In a conversation with Physics World’s Margaret Harris, Earley talks about the physics, engineering and commercialization of reversible computing. They also chat about the prototype chips that Vaire is currently working on and the company’s plans for the future.
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