LLMs on Analog In-Memory Computing Based Hardware (IBM Research, ETH Zurich)


A technical paper titled "Analog Foundation Models" was published by IBM Research– Zurich, ETH Zurich, IBM Research-Almaden, and IBM TJ Watson Research Center. Abstract: "Analog in-memory computing (AIMC) is a promising compute paradigm to improve speed and power efficiency of neural network inference beyond the limits of conventional von Neumann-based architectures. However, AIMC intro... » read more

Fault-Free Matrix for Analog Hardware (The Univ. of Hong Kong, Univ. of Oxford, Hewlett Packard Labs)


A new technical paper titled "Fault-Free Analog Computing with Imperfect Hardware" was published by researchers at The University of Hong Kong, University of Oxford, and Hewlett Packard Labs. Abstract "The surging demand for computational power, particularly for edge computing and AI, drives research into alternative paradigms like analog in-memory computing using memristors. These approach... » read more