IBM researchers, together with ETH Zürich, have unveiled a new class of Analog Foundation Models (AFMs) designed to bridge the gap between large language models (LLMs) and Analog In-Memory Computing (AIMC) hardware. AIMC has long promised a radical leap in efficiency—running models with a billion parameters in a footprint small enough for embedded or edge […]
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