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SK Hynix, TetraMem, and researchers from the University of Southern California have developed a memristor-based in-memory computing (IMC) system-on-chip (SoC) designed to enhance energy efficiency for edge AI devices. The chip introduces an innovative architecture optimized for depthwise convolution

SK hynix and TetraMem have achieved a significant breakthrough in analog in-memory computing (AIMC), a technology aimed at addressing energy and thermal limitations in current AI systems. This joint development, featured as a cover story in a scientific journal, focuses on moving computation directl

SK Hynix and neuromorphic computing firm TetraMem have achieved a significant breakthrough in AI memory technology through their joint Analog In-Memory Computing (A-IMC) project. This advancement addresses the growing energy consumption and thermal challenges associated with increasingly complex AI

TetraMem and SK Hynix have successfully completed a technology collaboration advancing memory-centric AI computing, as announced on July 8, 2026. Their joint research, published in *Advanced Intelligent Systems* and featured on the journal’s cover, introduces a memristor-based in-memory computing So