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Stanford chip and Apple tools signal AI efficiency shift

Stanford researchers unveiled Onyx, a programmable chip that accelerates both sparse and dense AI computations, promising major energy and speed gains. Apple is reportedly adding three AI-powered ...
Crypto Briefing

Reiner Pope: Batch size dramatically impacts AI latency and cost, kv cache is key for autoregressive models, and efficient inference can save resources | Dwarkesh

Batch size has a significant impact on both latency and cost in AI model training and inference. Estimating inference time ...
Scientific Research Publishing

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ()

Edge-Centric Generative AI: A Survey on Efficient Inference for Large Language Models in Resource-Constrained Environments ...
Nature

Lead optimization articles from across Nature Portfolio

Lead optimization is the process by which a drug candidate is designed after an initial lead compound is identified. The process involves iterative rounds of synthesis and characterisation of a ...