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SUMMARY:Images of mathematics/realities of mathematics in AI - Matthew Jon
 es (Princeton University)
DTSTART:20250124T113000Z
DTEND:20250124T123000Z
UID:TALK220558@talks.cam.ac.uk
DESCRIPTION:Mathematics\, or at least\, conceptions about mathematics and 
 mathematicians\, have been central to the field of artificial intelligence
  and its analogue fields from its beginnings in the 1940s. While logical r
 econstructions of pure mathematical activity played a prominent normative 
 role in the early days of symbolic AI\, more recent machine learning and n
 ow "generative AI" rests far more heavily on large scale computational sta
 tistics and linear algebra. This talk considers the diverse mathematics at
  play in the development of recent AI\, both the mathematics in practice a
 nd normative images of mathematics in the field\, now dramatically differe
 nt from its early roots.
LOCATION:Seminar Room 1\, Newton Institute
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