Abstract: Critical questions in dynamical neuroscience and machine learning are related to the study of continuous-time neural networks and their stability, robustness, and computational efficiency.
16.2 RNGD: A 5nm Tensor-Contraction Processor for Power-Efficient Inference on Large Language Models
Abstract: There is a need for an AI accelerator optimized for large language models (LLMs) that combines high memory bandwidth and dense compute power while minimizing power consumption. Traditional ...
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