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BEGIN:VEVENT
ORGANIZER;CN="Hunter, Tiffany":mailto:huntert1@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Chen, Xiao
wei":mailto:xiaoweichen@cedarville.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN='eecs_bscs
@listserv.ohio.edu':mailto:eecs_bscs@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN='eecs_bsee
@listserv.ohio.edu':mailto:eecs_bsee@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN='eecs_mscs
@listserv.ohio.edu':mailto:eecs_mscs@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN='eecs_phd@
listserv.ohio.edu':mailto:eecs_phd@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN='eecs_msee
@listserv.ohio.edu':mailto:eecs_msee@listserv.ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Abukamail,
Nasseef":mailto:abukamai@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Allwine, D
aniel":mailto:allwined@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Bartone, C
hris":mailto:bartone@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Chenji, Ha
rsha":mailto:chenji@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Goble, Jam
es":mailto:goble@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Irwin, Den
nis":mailto:irwind@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Jadwisienc
zak, Wojciech":mailto:jadwisie@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Karanth, A
vinash":mailto:karanth@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Kaya, Sava
s":mailto:kaya@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Kelsey, Ra
lph":mailto:kelsey@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Liu, Chang"
:mailto:liuc@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Liu, Jundo
ng":mailto:liuj1@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Mourning,
Chad":mailto:mourning@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ostermann,
Shawn":mailto:osterman@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Rahman, Fa
iz":mailto:rahmanf@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Schlicher,
Jared":mailto:schliche@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ugazio, Sa
brina":mailto:ugazio@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Vasiliadis
, Konstantinos":mailto:vassilia@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Welch, Lon
nie":mailto:welch@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Zhu, Jim":m
ailto:zhuj@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Wang, Zhew
ei":mailto:wangz1@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Lindner, P
atricia":mailto:lindnerp@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Ardrey, Gr
egory":mailto:gardrey@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Yadav, Ani
mesh":mailto:yadava@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Plis, Kevi
n":mailto:plis@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Juedes, Da
vid":mailto:juedes@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Fox, Patri
ck":mailto:pfox@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Patterson,
James":mailto:pattersj@ohio.edu
ATTENDEE;ROLE=REQ-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Steinberg,
Eric":mailto:steinber@ohio.edu
DESCRIPTION;LANGUAGE=en-US:Title: Breaking the Memory Bottleneck: Essentia
l for High-Performance\, Reliable and Secure AI Processors\nAbstract:\nAs
artificial intelligence (AI) grows in sophistication and demands ever-incr
easing computational power\, traditional memory architectures are proving
to be a significant bottleneck.This seminar aims to talk about possible so
lutions to overcome the memory limitations that has been the bottleneck to
enable the full potential of future AI processors. Furthermore\, it exami
nes emerging memory technologies that hold the promise of revolutionizing
AI processor designs. The seminar aims to spark discussion on how memory i
nnovations can pave the path to the next generation AI processors.\nBio:\n
Dr. Xiaowei Chen is an Associate Professor in the Department of Electrica
l and Computer Engineering at Cedarville University. His research focuses
on developing innovative memory solutions and hardware-level security mech
anisms to advance the performance\, efficiency\, and trustworthiness of AI
processors. Dr. Xiaowei Chen is particularly interested in addressing me
mory bottlenecks in emerging AI applications and exploring novel ways to e
mpower future AI processors.\n\n__________________________________________
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