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:20250129T150000
DTEND;TZID=America/New_York:20250129T160000
DTSTAMP:20260602T190228
CREATED:20250116T205359Z
LAST-MODIFIED:20250116T205359Z
UID:12931-1738162800-1738166400@seasevents.nmsdev7.com
SUMMARY:Spring 2025 GRASP SFI: Guandao Yang\, Stanford University\, “Toward Spatial Intelligence with Limited Data”
DESCRIPTION:This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. \nABSTRACT\nModern artificial intelligences (AIs) rely heavily on internet-scale data with unified representations. However\, such large-scale homogeneous data isn’t readily available for spatial computing applications involving 3D geometry\, hindering the development of spatial intelligence— AIs that can generate and understand 3D spatial data. In this talk\, I will present ideas toward building spatial intelligence systems with limited 3D data. I will discuss my work combining existing mathematical models in graphics with foundation models in machine learning to generate and analyze 3D shapes. Finally\, I will conclude with a discussion about the future opportunities and challenges in developing data-efficient AIs for spatial computing and beyond.
URL:https://seasevents.nmsdev7.com/event/spring-2025-grasp-sfi-guandao-yang/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
END:VCALENDAR