In-Memory Computing, AI Draws Research Interest

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As interest in AI and in-memory computing significantly increases, ReRAM could be the key to unlocking the ability to imitate the human brain.

www.eetasia.com, Mar. 24, 2022 – 

As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking their ability to imitate the human brain–yet challenges remain.

Last year's IEDM corralled many recent research papers on advancing a wide array of memory types, both emerging and incumbent. Not surprisingly, a great deal of them were dedicated to how memory could improve in-memory computing, AI and machine learning (ML), and even mimic the human brain.

ReRAM has been synonymous with neuropathic computing, something Weebit Nano has expressed interest in pursuing for its technology; although it's taking a backseat to the company's other business priorities.

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