AI models such as ChatGPT consume serious power. Experts break down where that energy goes, and what you can do to help.

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This paper presents the first Compute-in-memory (CIM) Graph Neural Networks (GNN) processor, CIMGN, running complete GNN inference blocks with up to 16-bit precession. Accelerating GNN is more ...