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DTSTART;TZID=America/Los_Angeles:20230421T173000
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DESCRIPTION:Abstract: Neuromorphic computing such as SNN leads to a new are
 a of AI system architecture\, impacting both hardware devices and software
  algorithms. Professor Eshraghian’s research explores possibilities of u
 sing ideas from Neuroscience to implement more efficient AI Hardware and S
 oftware.\n\nBio: Jason K. Eshraghian is an Assistant Professor with the De
 partment of Electrical and Computer Engineering\, University of California
 \, Santa Cruz. He received the Bachelor of Engineering (Electrical and Ele
 ctronic) and the Bachelor of Laws degrees from The University of Western A
 ustralia\, WA\, Australia\, in 2017\, where he also received the Ph.D. Deg
 ree in 2019. From 2019 to 2022\, he was a Post-Doctoral Research Fellow at
  the University of Michigan\, MI\, USA. He serves as the Secretary-Elect o
 f the Neural Systems and Applications Technical Committee. He was was awar
 ded the [2019 IEEE Very Large Scale Integration Systems Best Paper Award](
 https://ieee-cas.org/paper-award/outstanding-paper-awards/transactions-ver
 y-large-scale-integration-systems-tvsli-best)\, the Best Paper Award at th
 e 2019 IEEE Artificial Intelligence Circuits and Systems Conference\, and 
 the [Best Live Demonstration Award at the 2020 IEEE International Conferen
 ce on Electronics Circuits and Systems](https://ieee-cas.org/files/ieeecas
 s/2022-06/Women_in_Circuits_and_Systems_WiCAS_and_Young_Professionals_YP_a
 t_ICECS_2020_CAS_Society_News%20%281%29_0.pdf) for his work in neuromorphi
 c computing. He is the recipient of a Fulbright Fellowship (Australian-Ame
 rican Fulbright Comission)\, a Forrest Research Fellowship (Forrest Resear
 ch Foundation)\, and the Endeavour Research Fellowship (Australian Governm
 ent). His research interests include neuromorphic computing\, spiking neur
 al networks\, and memory circuits\, and he is the developer of [snnTorch](
 https://snntorch.readthedocs.io/)\, a widely used Python library used to t
 rain and model spiking neural networks.\n\nCo-sponsored by: CH06184 - Sant
 a Clara Valley Section Chapter\,SSC37\n\nCupertino\, California\, United S
 tates\, 95014
LOCATION:Cupertino\, California\, United States\, 95014
ORGANIZER:nandish@ieee.org
SEQUENCE:5
SUMMARY:From Neuroscience to Efficient AI Software and Hardware
URL;VALUE=URI:https://events.vtools.ieee.org/m/356739
X-ALT-DESC:Description: <br /><p><strong>Abstract</strong>: Neuromorphic co
 mputing such as SNN leads to a new area of AI system architecture\, impact
 ing both hardware devices and software algorithms. Professor Eshraghian&rs
 quo\;s research explores possibilities of using ideas from Neuroscience to
  implement more efficient AI Hardware and Software.</p>\n<p><strong>Bio</s
 trong>: Jason K. Eshraghian is an Assistant Professor with the Department 
 of Electrical and Computer Engineering\, University of California\, Santa 
 Cruz. He received the Bachelor of Engineering (Electrical and Electronic) 
 and the Bachelor of Laws degrees from The University of Western Australia\
 , WA\, Australia\, in 2017\, where he also received the Ph.D. Degree in 20
 19. From 2019 to 2022\, he was a Post-Doctoral Research Fellow at the Univ
 ersity of Michigan\, MI\, USA. He serves as the Secretary-Elect of the Neu
 ral Systems and Applications Technical Committee. He was was awarded the&n
 bsp\;<a href="https://ieee-cas.org/paper-award/outstanding-paper-awards/tr
 ansactions-very-large-scale-integration-systems-tvsli-best">2019 IEEE Very
  Large Scale Integration Systems Best Paper Award</a>\, the Best Paper Awa
 rd at the 2019 IEEE Artificial Intelligence Circuits and Systems Conferenc
 e\, and the&nbsp\;<a href="https://ieee-cas.org/files/ieeecass/2022-06/Wom
 en_in_Circuits_and_Systems_WiCAS_and_Young_Professionals_YP_at_ICECS_2020_
 CAS_Society_News%20%281%29_0.pdf">Best Live Demonstration Award at the 202
 0 IEEE International Conference on Electronics Circuits and Systems</a>&nb
 sp\;for his work in neuromorphic computing.&nbsp\;He is the recipient of a
  Fulbright Fellowship (Australian-American Fulbright Comission)\, a Forres
 t Research Fellowship (Forrest Research Foundation)\, and the Endeavour Re
 search Fellowship (Australian Government). His research interests include 
 neuromorphic computing\, spiking neural networks\, and memory circuits\, a
 nd he is the developer of&nbsp\;<a href="https://snntorch.readthedocs.io/"
 >snnTorch</a>\, a widely used Python library used to train and model spiki
 ng neural networks.</p>
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