Brain-Inspired Computing Using Magnetic Domain Wall Devices

Brain-Inspired Computing Using Magnetic Domain Wall Devices

Welcome to our hybrid event on Brain-Inspired Computing using Magnetic Domain Wall Devices! Join us for an exciting exploration of cutting-edge technology and its application as a promising solution to the energy inefficiency of the von Neumann architecture in AI applications. This event, both online and at Quadrant, San Jose CA, promises to be a unique opportunity to delve into the world of neuroscience and technology. Don't miss out on this chance to expand your knowledge and network with like-minded individuals. See you there!

ON LINE OR IN PERSON AT QUADRANT, San Jose CA.

Abstract: Neuromorphic computing, or brain-inspired computing, is a promising solution to the energy inefficiency of the von Neumann architecture in AI applications. Our laboratory has been developing various synaptic and neuron devices, focusing on domain wall (DW) devices based on magnetic tunnel junctions (MTJs). These devices, driven by spin-orbit torque, achieve low-energy DW motion and translate DW position into resistance levels or voltage pulses. This talk will cover the design of synthetic neurons, synaptic elements, and materials, starting with an introductory overview at first-year graduate student level, and concluding with the latest research developments.

Speaker: Prof. S. N. (Prem) Piramanayagam, Ph.D. has 30 years of experience in magnetism with research covering magnetic alloys, permanent magnetic materials, and nanostructures for recording and spintronics.

Host or Publisher IEEE SCV Magnetics Chapter, EMC Chapter, and Power Electronics Chapter