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Article in Nature Electronics Details Method that Takes Advantage of RRAM Non-IdealitiesTo Create Intelligent Systems that Have Potential Medical-Diagnostic Applications
This highlights that, beyond being RRAM-compatible, Bayesian machine learning offers an alternative modelling method that appears well suited to the characteristics of edge learning, the article says.
The team also applied their experimental system to solve further classification tasks including the diagnosis of malignant breast-tissue samples.
Our system could be used as the foundation for the design and fabrication of a standalone and fully integrated RRAM-based MCMC sampling chip, for applications outside the laboratory," the authors of the article conclude. That achievement will finally open the door to edge learning and an entirely new set of applications.
CEA is a French government-funded technological research organisation in four main areas: low-carbon energies, defense and security, information technologies and health technologies. A prominent player in the European Research Area, it is involved in setting up collaborative projects with many partners around the world.