Seminar: "Neuromorphic computing with magnetic nanodevices by Miguel Romera (Unité Mixte de Physique CNRS/Thales, Palaiseau, France)

July 12, 2018  Seminar room, 12pm

Today, neural networks are everywhere: they are the virtual assistants in our smartphones, they are powering our search engines and they are the key to big data classification. They can even beat humans at image recognition or at strategy games such as Go. However neural networks are still running as software on our current computers, consuming tens of kilowatts and working rather slowly. In comparison, the brain from which they are inspired, operates with 20 W and can realize incredibly complex tasks in fractions of seconds. Building chips more closely inspired from the brain architecture is the path to cognitive computing at low energy cost. Applications of such chips span from embedded automatic pattern recognition for big data management, going through unmanned vehicle control to bio-medical prosthesis. The challenge of fabricating brain-inspired hardware relies in the ultra-high density networks that have to be built, out of complex processing units interlinked by tunable connections providing memory. Magnetic nanodevices can be a key technology in this context thanks to their ability to provide massive access to memory, their multiple and tunable functionalities, their non-linear dynamics and compatibility with CMOS. In this talk I will give an overview of recent advances in the field of hardware brain-inspired computing. I will discuss how magnetic nanodevices can be used for brain-inspired computing, and show our first experimental results of cognitive pattern recognition with coupled magnetic nano-oscillators..

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