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Artificial intelligenceChips and semiconductors
A preprint presents CEMA-Router, an infrastructure-aware method for routing batches of language-model inference requests across cloud and edge resources. The design considers differences in compute capacity, energy efficiency, network conditions and model quality.
A preprint presents CEMA-Router, an infrastructure-aware method for routing batches of language-model inference requests across cloud and edge resources. The design considers differences in compute capacity, energy efficiency, network conditions and model quality.
The goal is to balance response quality, cost, energy use and batch completion time. It is a proposed routing system evaluated by its authors, not a deployed service or a universal routing result.
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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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