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UCL Professor: Why AI’s Biggest Problem Might Be Energy, Not Intelligence
What happens when the future of AI depends less on bigger models and more on rebuilding the hardware underneath them?In this conversation, Anthony Kenyon explores semiconductors, nanoelectronics, and neuromorphic computing, and explains why the next leap in AI may come not from scaling the same architecture forever, but from designing systems that work more like the brain.But this isn’t just a story about faster chips.It’s about a deeper shift:🔹 What happens when today’s computing model becomes too energy-hungry to keep scaling?🔹 Could neuromorphic systems unlock a new generation of AI by…
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