BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Denver BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20221106T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230216T043934Z UID:14A3EB9E-8B6E-4AE3-8CBB-11AEF43B8D01 DTSTART;TZID=America/Denver:20230203T110000 DTEND;TZID=America/Denver:20230203T121500 DESCRIPTION:Artificial spiking neurons are the primary building blocks in a new class of neuromorphic computer hardware\, for example\, Intel’s Loi hi. Spiking spintronic neurons hold promise to transform conventional comp uter architectures for increased processing speed and computational effici ency in machine learning tasks. This talk will show that magnetic tunnel j unctions have the capacity to behave as spiking neurons\, and that magneti c tunnel junctions can have a characteristic behavior that is similar to b iological neurons.\n\nCo-sponsored by: UCCS\n\nSpeaker(s): Steven Louis\, \n\nRoom: A204\, Bldg: Osborne Center for Science and Engineering\, 1420 A ustin Bluffs Pkwy\, Colorado Springs\, Colorado\, United States\, 80918\, Virtual: https://events.vtools.ieee.org/m/348981 LOCATION:Room: A204\, Bldg: Osborne Center for Science and Engineering\, 14 20 Austin Bluffs Pkwy\, Colorado Springs\, Colorado\, United States\, 8091 8\, Virtual: https://events.vtools.ieee.org/m/348981 ORGANIZER:dbozhko@uccs.edu SEQUENCE:1 SUMMARY:Magnetic tunnel junctions as nanoscale artificial neurons URL;VALUE=URI:https://events.vtools.ieee.org/m/348981 X-ALT-DESC:Description: <br /><p>Artificial spiking neurons are the primary building blocks in a new class of neuromorphic computer hardware\, for ex ample\, Intel&rsquo\;s Loihi. Spiking spintronic neurons hold promise to t ransform conventional computer architectures for increased processing spee d and computational efficiency in machine learning tasks. This talk will s how that magnetic tunnel junctions have the capacity to behave as spiking neurons\, and that magnetic tunnel junctions can have a characteristic beh avior that is similar to biological neurons.</p> END:VEVENT END:VCALENDAR