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DESCRIPTION:Pittsburgh: tech\, Wednesday (Wed Sep 23\, America/New_York). 
 Rolling: the window moves forward every day\, so subscribe rather than dow
 nload. Discovered and maintained by CalDiscovery (https://caldiscovery.com
 ). Event details belong to their publishers. Contains information from Cal
 Discovery\, which is made available under the ODbL 1.0.
SOURCE:https://caldiscovery.com/pittsburgh-pa/wednesday-tech.ics
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X-WR-CALDESC:Pittsburgh: tech\, Wednesday (Wed Sep 23\, America/New_York).
  Rolling: the window moves forward every day\, so subscribe rather than do
 wnload. Discovered and maintained by CalDiscovery (https://caldiscovery.co
 m). Event details belong to their publishers. Contains information from Ca
 lDiscovery\, which is made available under the ODbL 1.0.
X-WR-CALNAME:Pittsburgh · tech · Wednesday · CalDiscovery
BEGIN:VEVENT
SUMMARY:Welcome Back KYOCERA
DTSTART:20260921T123000Z
DTEND:20260925T210000Z
DTSTAMP:20260916T031252Z
UID:https://www.cs.cmu.edu/calendar/206660236
CATEGORIES:tech
DESCRIPTION:Meetings and participation by invitation only.
LAST-MODIFIED:20260916T031252Z
LOCATION:By Invitation Only
URL:https://www.cs.cmu.edu/calendar/?trumbaEmbed=view%3Devent%26eventid%3D
 206660236&utm_source=caldiscovery&utm_medium=ics&utm_campaign=pittsburgh-p
 a
X-SOURCE-NAME:CMU School of Computer Science Events
X-SOURCE-URL:https://calendar.cs.cmu.edu
END:VEVENT
BEGIN:VEVENT
SUMMARY:Software Engineering Institute Webcast: How 3D Gaussian Splatting 
 is Transforming Digital Twins
DTSTART:20260923T170000Z
DTEND:20260923T180000Z
DTSTAMP:20260916T031252Z
UID:https://www.cs.cmu.edu/calendar/207118081
CATEGORIES:tech
DESCRIPTION:Creating high-fidelity digital twins has traditionally been co
 stly and time consuming. A new class of volumetric modeling techniques is 
 changing this paradigm by enabling the creation of photorealistic visual m
 odels and geometrically accurate 3D meshes from real-world data. In this w
 ebcast\, we will explore one emerging approach—3D Gaussian Splatting (3D
 GS)—and discuss how organizations can leverage these models for applicat
 ions such as simulation\, training\, visualization\, autonomous systems\, 
 and digital engineering.\n\nWhat Will Attendees Learn\n - how contemporary
  approaches are enabling faster\, more scalable creation of digital twins\
 n - the fundamentals of 3D Gaussian Splatting and practical considerations
  for using the technology\n - how organizations can apply 3DGS-based model
 s to support mission\, engineering\, and operational needs\nWho Should Att
 end?\n - Researchers and engineers working in computer vision\, AI\, simul
 ation\, and digital engineering\n - Digital transformation leaders interes
 ted in applying digital twin technologies\n - Program managers and decisio
 n-makers evaluating new approaches for modeling real-world environments\nR
 EGISTER: \nhttps://events.zoomgov.com/ev/Ar0op7hNVc4K8fSz7l3iW_hJGIrODVMMd
 ZnXvQ988EyByLhEAS1e~AgtG_qMxlXUry2PMlaX7lpzOu8fMSNs1Rh5gQDC14_H0jYPZTp7jB5
 6njw\nAbout the Speakers\n\n\nMatthew Walsh is a Senior Data Scientist wit
 hin the CERT Division of the Carnegie Mellon University Software Engineeri
 ng Institute (SEI). His research centers on leveraging artificial intellig
 ence to enhance cyber security and to usher in novel organizational capabi
 lities. Among his recent undertakings\, Matthew has explored extensions of
  system theory to ensure the safety and security of AI systems. Matthew ea
 rned a Ph.D. in Cognitive Psychology from Carnegie Mellon University\, and
  a bachelor’s degree in psychology from the Pennsylvania State Universit
 y.\n \n\nDominic Ross is an Autonomy Engineer at Carnegie Mellon Universit
 y’s Software Engineering Institute (SEI) with over 15 years of expertise
  in media research and development. His work focuses on generative AI\, pa
 rticularly in the areas of digital twinning\, virtual production\, and ext
 ended reality (XR). Dominic has applied these technologies in modeling and
  simulation (M&S) environments to develop training capabilities for both h
 uman warfighters and autonomous systems.
LAST-MODIFIED:20260916T031252Z
LOCATION:Remote Access - Zoom
URL:https://www.cs.cmu.edu/calendar/?trumbaEmbed=view%3Devent%26eventid%3D
 207118081&utm_source=caldiscovery&utm_medium=ics&utm_campaign=pittsburgh-p
 a
X-SOURCE-NAME:CMU School of Computer Science Events
X-SOURCE-URL:https://calendar.cs.cmu.edu
END:VEVENT
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