IEEE Magnetics Society Distinguished Lecture: Brain-Inspired Computing Using Magnetic Domain Wall Devices
Speaker: Professor S. N. (Prem) Piramanayagam
School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore
Abstract:
Neuromorphic computing or brain-inspired computing is considered as a potential solution to overcome the energy
inefficiency of the von Neumann architecture for artificial intelligence applications [1-4]. To realize spin-based
neuromorphic computing practically, it is essential to design and fabricate electronic analogues of neurons and synapses.
An electronic analogue of a synaptic device should provide multiple resistance states. A neuron device should receive
multiple inputs and should provide a pulse output when the summation of the multiple inputs exceeds a threshold.
Our group has been carrying out investigations on the design and development of various synaptic and neuron devices
in our laboratory. Domain wall (DW) devices based on magnetic tunnel junctions (MTJs), where the DW can be moved
by spin-orbit torque, are suitable candidates for the fabrication of synaptic and neuron devices [2]. Spin-orbit torque
helps in achieving DW motion at low energies whereas the use of MTJs helps in translating DW position information into
resistance levels (or voltage pulses) [3]. This talk will summarize various designs of synthetic neurons synaptic elements
and materials [4]. The first half of the talk will be at an introductory level, aimed at first-year graduate students. The
second half will provide details of the latest research.
Date and Time
Location
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- Date: 06 Dec 2024
- Time: 03:00 PM to 04:00 PM
- All times are (UTC-06:00) Central Time (US & Canada)
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