AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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OASIS, a distributed in-sensor vision framework that uses a lightweight encoder to generate compact, task-relevant representations before off-chip transmission, is presented, demonstrating a practical hardware-algorithm co-design path for communication-efficient in-sensor vision.
The growing use of electroencephalography (EEG) motivates automated analysis that is accurate, transferable, and deployable on constrained hardware. Recent EEG foundation models learn general representations from large-scale pretraining, but their size and computational cost limit edge and wearable deployment. We intro...
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