Latest story• Feb 10, 2026
RRAM hasn't delivered yet, but stacked memory is being pitched to run neural networks in place
Despite RRAM technology failing to deliver on commercial promises for over a decade, University of California San Diego researchers have developed a new "stacked" approach that runs neural networks directly in memory to bypass performance bottlenecks. Their 3D design achieved 90% accuracy in AI tasks, though significant reliability and temperature stability challenges remain unresolved.