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SUMMARY:POSTPONED: Trustworthy AI for Rail and Transit – Concepts and Fundamentals
DESCRIPTION:*** Thank you for your interest in the Rutgers Rail AI Academy. Due to scheduling conflicts related to the FIFA World Cup\, we have decided to postpone this training to a later date. Rutgers will reschedule the session and provide an update soon.  \nThank you for your patience\, and we sincerely apologize for any inconvenience. If you have any questions\, or if you’d like to be notified once the training is rescheduled\, please email: xiang.liu@rutgers.edu and ryan.stiesi@rutgers.edu.  \n  \n\nThe Rutgers Rail AI Academy is a 3-course workforce training program designed to equip rail professionals with the tools and experience needed to use AI to improve safety\, reliability\, efficiency\, and asset management at their respective agencies. The program is organized and developed by The Rutgers Rail and Transit Program at the Center for Advanced Infrastructure and Transportation (CAIT). \nCourse Level 1\, “Trustworthy AI for Rail and Transit – Concepts and Fundamentals\,” will introduce rail and transit professionals to the fundamentals of AI and its applications in the transit industry. Rutgers researchers will demystify AI concepts and demonstrate realistic use cases for this technology based on years of experience in collaboration with the rail and transit industry. Participants will build their AI literacy through case studies and interactive learning. \nLearning Objectives:\n\nUnderstand the fundamentals of AI and its applications in the rail and transit space\nBuild AI literacy and confidence in assessing AI trustworthiness\nLearn from AI case studies based on Rutgers’ years of research in collaboration with the rail and transit industry\n\nAudience – This training program is open to rail and transit professionals at:\n\nFreight railroads\nPassenger rail agencies\nState DOTs\nPublic-sector transportation agencies
URL:https://cait.rutgers.edu/event/rail-ai-academy-level-1/
LOCATION:Rutgers CAIT Auditorium\, 100 Brett Road\, Piscataway\, NJ\, 08854\, United States
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ORGANIZER;CN="Ryan%20Stiesi":MAILTO:rps118@soe.rutgers.edu
GEO:40.5225239;-74.4597658
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