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PRODID:-//Superpower Daily//AI Events//EN
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X-WR-CALNAME:Superpower Daily AI events
BEGIN:VEVENT
UID:b9a811d7-cd3c-4dce-89a0-62736b086d34@superpowerdaily.com
DTSTAMP:20261015T140356Z
LAST-MODIFIED:20261015T140356Z
DTSTART:20261105T160000Z
DTEND:20261105T180000Z
SUMMARY:Thesis Defense - Onkar Gujral
DESCRIPTION:Onkar Gujral will explore how sparse dictionary learning can ma
 ke protein language models more interpretable\, revealing biological conce
 pts and potentially new scientific insights. The talk will also examine em
 ergent mathematical relationships in knot-class models and present a resul
 t extending the functoriality of Khovanov homology to immersed surfaces.\n
 Details: https://superpowerdaily.com/events/thesis-defense-onkar-gujral-b9
 a811d7-cd3c-4dce-89a0-62736b086d34\nRegister: https://calendar.mit.edu/eve
 nt/thesis-defense-onkar-gujral
LOCATION:Cambridge\, MA
URL:https://superpowerdaily.com/events/thesis-defense-onkar-gujral-b9a811d7
 -cd3c-4dce-89a0-62736b086d34
STATUS:TENTATIVE
TRANSP:TRANSPARENT
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