A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
Microsoft Corp. plans to expand its physical infrastructure to train its own artificial intelligence models that it hopes will be competitive with OpenAI, Anthropic and other firms. The company will ...
The energy required to train large, new artificial intelligence (AI) models is growing rapidly, and a report released on Monday projects that within a few years such AI training could consume more ...
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Neuromorphic Spike-Based Large Language Model (NSLLM): The next-generation AI inference architecture for enhanced efficiency and interpretability
Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...
Opening its Connect 2025 conference, Huawei stressed that computing power is and will continue to be key to the continued roll-out of artificial intelligence (AI) across distributed business ...
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