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

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution of neural network models. According to UCSD electrical engineer Duygu Kuzum, the approach could eventually enable a new class of local AI applications, assuming the technology’s remaining challenges can…
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