RRAM hasn't delivered yet, but stacked memory is being pitched to run neural networks in place
SMRTR summary
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.
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