BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Computer Science and Engineering - ECPv6.13.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Computer Science and Engineering
X-ORIGINAL-URL:https://homecse.iitd.ac.in
X-WR-CALDESC:Events for Computer Science and Engineering
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
TZOFFSETFROM:+0530
TZOFFSETTO:+0530
TZNAME:IST
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Asia/Kolkata:20260430T163000
DTEND;TZID=Asia/Kolkata:20260430T173000
DTSTAMP:20261010T121553
CREATED:20260421T084518Z
LAST-MODIFIED:20260421T084518Z
UID:2507-1777566600-1777570200@homecse.iitd.ac.in
SUMMARY:Physical reasoning in Minds\, Brains\, and Machines by Dr. Pramod RT
DESCRIPTION:Online joining: https://teams.microsoft.com/meet/44299089959938?p=5wwN132pf54i4sVnyN \nAbstract: Successful engagement with the physical world involves perceiving the underlying structure\, predicting how things unfold\, and planning actions accordingly. This rich understanding and reasoning about our physical environment\, or ‘intuitive physics’\, develops early in infancy and is a core component of human cognition. While it seems easy for us to understand and interact in unfamiliar situations\, current machine learning systems are still far from achieving human-like generalizable performance. In this talk\, I will present: i) a set of non-invasive neuroimaging (functional Magnetic Resonance Imaging or fMRI) studies characterizing the brain basis of physical reasoning in humans\, ii) the first single-neuron level evidence for physical reasoning in the human brain using intracranial recordings\, and iii) ongoing work benchmarking latest AI models on various physical reasoning tasks. Together\, the results and methodology will help in not only understanding the neural mechanisms of physical reasoning but also discovering ways to bridge the reasoning gap between humans and AI. \nBio: RT Pramod is a computational cognitive neuroscientist at Massachusetts Institute of Technology whose research explores the neural and computational basis of physical scene understanding and reasoning. His work combines behavioral experiments\, computational modeling and neuroimaging to understand how humans perceive\, predict and plan in the world. Pramod obtained his Ph.D. from the Indian Institute of Science (IISc) working on compositional representations underlying visual object perception. His interests span visual cognition\, world models\, and the intersection of biological and machine intelligence.
URL:https://homecse.iitd.ac.in/event/physical-reasoning-in-minds-brains-and-machines-by-dr-pramod-rt/
END:VEVENT
END:VCALENDAR