Researchers at IBM Research Europe published “Superposed analog memory for vector storage in neural networks.” Summary : Researchers demonstrated an analog phase-change memory architecture that stores multiple AI vectors in superposition, increasing effective storage density with a tunable accuracy tradeoff. Tests on prototype PCM hardware showed inference accuracy close to full-precision software. Find the technical paper here . October 2026 Vasilopoulos, Athanasios, Patrick Diener, Michael Hersche, Abbas Rahimi, and Abu Sebastian. “Superposed analog memory for vector storage in neural networks.” arXiv preprint arXiv:2610.26118 (2026). CC BY-NC-SA 4.0 License The post Analog Superposition Increases Effective PCM Storage Density (IBM Research Europe) appeared first on Semiconductor Engineering .