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DTSTAMP:20241206T225451Z
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DTSTART;TZID=America/Chicago:20241206T150000
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DESCRIPTION:Speaker: Professor S. N. (Prem) Piramanayagam\nSchool of Physic
 al and Mathematical Sciences\, Nanyang Technological University\, Singapor
 e\n\nAbstract:\n\nNeuromorphic computing or brain-inspired computing is co
 nsidered as a potential solution to overcome the energy\ninefficiency of t
 he von Neumann architecture for artificial intelligence applications [1-4]
 . To realize spin-based\nneuromorphic computing practically\, it is essent
 ial to design and fabricate electronic analogues of neurons and synapses.\
 nAn electronic analogue of a synaptic device should provide multiple resis
 tance states. A neuron device should receive\nmultiple inputs and should p
 rovide a pulse output when the summation of the multiple inputs exceeds a 
 threshold.\nOur group has been carrying out investigations on the design a
 nd development of various synaptic and neuron devices\nin our laboratory. 
 Domain wall (DW) devices based on magnetic tunnel junctions (MTJs)\, where
  the DW can be moved\nby spin-orbit torque\, are suitable candidates for t
 he fabrication of synaptic and neuron devices [2]. Spin-orbit torque\nhelp
 s in achieving DW motion at low energies whereas the use of MTJs helps in 
 translating DW position information into\nresistance levels (or voltage pu
 lses) [3]. This talk will summarize various designs of synthetic neurons s
 ynaptic elements\nand materials [4]. The first half of the talk will be at
  an introductory level\, aimed at first-year graduate students. The\nsecon
 d half will provide details of the latest research.\n\n2145 Sheridan Road\
 , Tech L440\, Evanston\, Illinois\, United States\, Virtual: https://event
 s.vtools.ieee.org/m/450901
LOCATION:2145 Sheridan Road\, Tech L440\, Evanston\, Illinois\, United Stat
 es\, Virtual: https://events.vtools.ieee.org/m/450901
ORGANIZER:
SEQUENCE:9
SUMMARY:IEEE Magnetics Society Distinguished Lecture: Brain-Inspired Comput
 ing Using Magnetic Domain Wall Devices
URL;VALUE=URI:https://events.vtools.ieee.org/m/450901
X-ALT-DESC:Description: <br /><p>Speaker: Professor S. N. (Prem) Piramanaya
 gam<br>School of Physical and Mathematical Sciences\, Nanyang Technologica
 l&nbsp\;University\, Singapore</p>\n<p>Abstract:&nbsp\;</p>\n<p>&nbsp\;Neu
 romorphic computing or brain-inspired computing is considered as a potenti
 al solution to overcome the energy<br>inefficiency of the von Neumann arch
 itecture for artificial intelligence applications [1-4]. To realize spin-b
 ased<br>neuromorphic computing practically\, it is essential to design and
  fabricate electronic analogues of neurons and synapses.<br>An electronic 
 analogue of a synaptic device should provide multiple resistance states. A
  neuron device should receive<br>multiple inputs and should provide a puls
 e output when the summation of the multiple inputs exceeds a threshold.<br
 >Our group has been carrying out investigations on the design and developm
 ent of various synaptic and neuron devices<br>in our laboratory. Domain wa
 ll (DW) devices based on magnetic tunnel junctions (MTJs)\, where the DW c
 an be moved<br>by spin-orbit torque\, are suitable candidates for the fabr
 ication of synaptic and neuron devices [2]. Spin-orbit torque<br>helps in 
 achieving DW motion at low energies whereas the use of MTJs helps in trans
 lating DW position information into<br>resistance levels (or voltage pulse
 s) [3]. This talk will summarize various designs of synthetic neurons syna
 ptic elements<br>and materials [4]. The first half of the talk will be at 
 an introductory level\, aimed at first-year graduate students. The<br>seco
 nd half will provide details of the latest research.</p>
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