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Artificial intelligenceChips and semiconductors
Brookhaven, Princeton Plasma Physics Laboratory, DIII-D and Great Sky demonstrated a superconducting neural-network chip on plasma-control tasks. Two tasks used DIII-D data sampled at one million points per second; another used simulated data.
Brookhaven, Princeton Plasma Physics Laboratory, DIII-D and Great Sky demonstrated a superconducting neural-network chip on plasma-control tasks. Two tasks used DIII-D data sampled at one million points per second; another used simulated data.
The team says a paper describing the work is still being prepared. It expects a next-generation chip with a ten-times-larger network in early 2027, then a possible on-site DIII-D deployment later that year.
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At the BUILD 2026 conference, the communications minister cited power, connectivity, cloud access and advanced chips as constraints on local AI growth.
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The Canadian AI-chip company says it will use the new funding to scale Galaxy servers and advance processor technology it licenses to customers.
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Researchers from Ottawa, Columbia and Hanyang reviewed post-CMOS materials and device approaches for artificial neurons; the work is a literature review, not a new chip prototype.
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