Weebit and EMASS to demonstrate RRAM technology for edge AI applications
RRAM Developer Weebit Nano announced a partnership with Embedded AI Systems (EMASS), a pioneer in ultra-low-power AI computing. The two companies are collaborating to demonstrate the advantages of RRAM technology for edge AI applications.
Weebit says that the combination of its RRAM technology with EMASS’ ultra-low power AI SoC, at a 22nm process node, aims to enhance energy efficiency, reduce power consumption, and enable instant system wake-up for AI-driven applications, unlocking new capabilities in edge computing.