Many formulas or equations are floating around in papers, blogs, etc., about how to calculate training or inference latency and memory for Large Language Models (LLMs) or Transformers. Rather than ...
Abstract: In this paper, we firstly analyze potential use cases and new requirements related to ultra-reliable and low-latency communications (URLLC) in 6G era. With the objective of showing ...
Abstract: Spiking neural networks (SNNs) have garnered significant attention for their potential in ultralow-power event-driven neuromorphic hardware implementations. One effective strategy for ...
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