IBM and ETH Zürich Researchers Unveil Analog Foundation Models to Tackle Noise in In-Memory AI Hardware
IBM researchers, along with ETH Zürich, have unveiled a brand new class of Analog Foundation Models (AFMs) designed to bridge the hole between giant language fashions (LLMs) and Analog In-Memory Computing (AIMC) {hardware}. AIMC has lengthy promised a radical leap in effectivity—operating fashions with a billion parameters in a footprint sufficiently small for embedded or…
