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Resistive random access memory (ReRAM) and other emerging memory technologies have been getting a lot of attention in the past year as semiconductor companies look for ways to more efficiently deal with the requirements of artificial intelligence and neuromorphic computing. Neuromorphic applications are designed to specifically mimic how the human brain learns and processes information, and ReRAM devices show promise for enabling high-density and ultimately scaled neuromorphic architectures because they are significantly smaller and more energy-efficient than current AI data centers. They also mimic the brain’s biological computation at the neuron and synaptic level.
Weebit Nano recently partnered with the Non-Volatile Memory Group of the Indian Institute of Technology Delhi (IITD) on a collaborative research project that will apply Weebit’s SiOx ReRAM technology to computer chips used for AI.
Source: EETimes LINK
[RRAM-Info] Weebit Nano was established in Israel in 2014 with an aim to
commercialize a Rice University's SiOx RRAM technology. The company aims
to show a "commercially viable" product by the end of 2017. In August 2016 Weebit Nano performed a reverse-merger with an Australian miner to become a public company (ASK:WBT). In September 2018 Weebit raised $2.16 million USD via a share placement.
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By Abhishekkumar Thakur, Jonas Sundqvist
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