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Artificial intelligenceChips and semiconductors
A preprint introduces SpecKCast, a feature-forecasting method intended to reduce repeated transformer evaluations in diffusion models. It uses a spectral Kalman approach to predict features at skipped denoising steps, extending work on caching intermediate features.
A preprint introduces SpecKCast, a feature-forecasting method intended to reduce repeated transformer evaluations in diffusion models. It uses a spectral Kalman approach to predict features at skipped denoising steps, extending work on caching intermediate features.
The method targets inference cost in image and video generation. Reported improvements belong to the paper’s selected models and tests; this is a research technique, not a released product or general speed guarantee.
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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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