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NPC-131072 [soylentnews.org] writes:

From IEEE Spectrum: [ieee.org]

Hoping to speed AI and neuromorphic computing [ieee.org] and cut down on power consumption, startups, scientists, and established chip companies have all been looking to do more computing in memory rather than in a processor’s computing core. Memristors and other nonvolatile memory seem to lend themselves to the task particularly well. However, most demonstrations of in-memory computing have been in standalone accelerator chips that either are built for a particular type of AI problem or that need the off-chip resources of a separate processor in order to operate. University of Michigan engineers are claiming the first memristor-based programmable computer [umich.edu] for AI that can work on all its own.

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