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DTSTART:20260308T070000
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DTSTART:20261101T060000
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UID:6ae94cc7cc56f
DTSTART;TZID=America/Toronto:20261103T140000
SEQUENCE:0
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URL:https://uwaterloo.ca/arts-ai/events/energy-efficient-ai-why-brains-use-
 much-less-power-ai-and
LOCATION:RCH - J.R. Coutts Engineering Lecture Hall 200 University Ave West
  Waterloo ON N2L 3G1 Canada
SUMMARY:Energy-Efficient AI: Why brains use much less power than AI\, and h
 ow\nthis might help us improve current AI
CLASS:PUBLIC
DESCRIPTION:Associate Research Officer Terry Stewart explores why brains ar
 e far\nmore energy-efficient than AI systems\, highlighting differences in
  how\nthey process information. It examines how brain-inspired algorithms\
 nand neuromorphic hardware could make AI more efficient by mimicking\nhow 
 the brain represents time and space.
DTSTAMP:20261103T025359Z
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BEGIN:VEVENT
UID:6ae94cc7d0ac7
DTSTART;TZID=America/Toronto:20261017T090000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20261017T100000
URL:https://uwaterloo.ca/arts-ai/events/ai-ruins-industry-and-inquiry-and-a
 fter-bubble
LOCATION:EV1408 - Environment 1 200 University Ave West Waterloo ON N2L 3G1
  Canada
SUMMARY:AI Before the Ruins: Industry and Inquiry Before and After the Bubb
 le
CLASS:PUBLIC
DESCRIPTION:How should we study something like \"AI\"—a subject of social
  and\ncapital investment that rests more on speculative promises than give
 n\ntechnologies or use cases? Drawing on political economic analyses of\nt
 he tech sector\, as well as a broader set of speculative fabulation\npract
 ices by fellow data centre scholars\, the talk will place AI in\nthe past 
 tense in order to assess both what it was and what it can\nbecome.
DTSTAMP:20261103T025359Z
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