AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Chameleon is proposed, a PTQ framework that holds the bit-width fixed and treats the format itself as a discrete variable, chosen per weight channel and per (layer, timestep bucket) activation tensor.
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.
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