EETimes - ReRAM Research Improves Independent AI Learning

Recent research using Weebit Nano's silicon oxide (SiOx) ReRAM technology outlines a brain-inspired artificial intelligence (AI) system which can perform unsupervised learning tasks with high accuracy results. The work was done by researchers at Polimi University and presented in a recent joint paper with the company that details a novel AI self-learning demonstration based on Weebit's SiOx ReRAM. The memory technology is considered a prime candidate to succeed NAND flash memory because of its potential to be 1,000 times faster while using 1,000 times less energy than NAND, while at the same time lasting 100 times longer. Weebit's SiOx ReRAM is also appealing because it can leverage existing manufacturing processes. ReRAM has also been eyed for AI applications by several research organizations.