From IEEE Spectrum:
Hoping to speed AI and neuromorphic computing 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 for AI that can work on all its own.
(Score: 4, Informative) by takyon on Wednesday July 31 2019, @10:43PM
This has been a thing for many years now:
https://www.engadget.com/2009/07/14/are-memristors-the-future-of-artifical-intelligence-darpa-think/ [engadget.com]
https://spectrum.ieee.org/robotics/artificial-intelligence/moneta-a-mind-made-from-memristors [ieee.org]
https://www.nextplatform.com/2015/07/08/memristors-mimic-brains-for-massive-machine-learning/ [nextplatform.com]
https://www.kurzweilai.net/synapse-like-memristor-based-electronic-device-detects-brain-spikes-in-real-time [kurzweilai.net]
http://sliu17.mysite.syr.edu/Memristor_CSM_10152017v2.pdf [syr.edu]
2009 was long before the latest AI craze. And you can probably find older references than that.
[SIG] 10/28/2017: Soylent Upgrade v14 [soylentnews.org]