BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250919T103000
DTEND;TZID=America/New_York:20250919T114500
DTSTAMP:20260602T012021
CREATED:20250902T201243Z
LAST-MODIFIED:20250902T201243Z
UID:20958-1758277800-1758282300@seasevents.nmsdev7.com
SUMMARY:[VIRTUAL SPEAKER]: Fall 2025 GRASP on Robotics: Max Welling\, University of Amsterdam & CuspAI\, "On the Role of Uncertainty in Automating the Scientific  Process with AI"
DESCRIPTION:This event will have a VIRTUAL SPEAKER. Streaming will be in-person only in Wu and Chen.  \nABSTRACT\nWe are in the middle of a transformation of the scientific process. AI is now rapidly automating scientific discovery by accelerating scientific simulation and optimisation. For example\, we can now shortcut expensive quantum mechanical calculations such as DFT with much faster machine learned interatomic potentials and forces\, numerically “solve” PDEs with neural networks\, or accelerate experimental design with Bayesian optimisation. However\, in both applications of AI the role of uncertainty is key because ML models can only be trusted in regions of input space where it has seen data. Extrapolating too far away from the data runs the risk of a large prediction error that goes unnoticed. In this talk I will first provide a high level overview of the increasingly important role of AI in science\, and then proceed with introducing a new efficient Variational Bayesian method for uncertainty quantification. I will show the effectiveness of this method on PDE solving and molecular generation (BARNN) and on ML interatomic potentials and forces (BLIP).
URL:https://seasevents.nmsdev7.com/event/virtual-speaker-fall-2025-grasp-on-robotics-max-welling-university-of-amsterdam-cuspai-on-the-role-of-uncertainty-in-automating-the-scientific-process-with-ai/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR