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X-ORIGINAL-URL:https://radcollaboratory.rutgers.edu
X-WR-CALDESC:Events for The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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DTSTART;TZID=UTC:20250218T093000
DTEND;TZID=UTC:20250218T110000
DTSTAMP:20260908T042212
CREATED:20250207T080029Z
LAST-MODIFIED:20250207T205632Z
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SUMMARY:AI/DL Tutorials: Introduction to Deep Learning
DESCRIPTION:The RAD Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials. \nInstructors: \n\nDr. Zhao Zhang\, Assistant Professor\, School of Engineering – ECE\nDr. Stephen K. Burley\, University Professor\, School of Arts and Sciences – C&CB\n\nDescription of Training Program:\nFour related in-person hands-on tutorials scheduled throughout Spring Semester 2025 will help prepare Rutgers masters students\, PhD students\, postdoctoral fellows\, and faculty for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools. We will use the Frontera supercomputer for hands-on exercises that reinforce learnings from short informative lectures. \nTutorial Dates/Topics:\nI. February 18th – Introduction to Deep Learning\nII. March 18th – Introduction to PyTorch\nIII. April 15th – Distributed Neural Network Training\nIV. April 29th – Large Language Models and their Applications in Science and Engineering \nWe will be using TACC Frontera RTX 5000 GPUs for all four Tutorials. You must have a Frontera account to run the hands-on exercises. Applicants who do not already have a TACC account must request one at https://tacc.utexas.edu/portal/login?from=/portal/. Getting approval and setting up the multi-factor authentication may take a few days. \nTutorials will be limited to 50 participants. Apply at: https://go.rutgers.edu/4gxadebw. Applications are due by Wednesday\, February 12\, 2025 at 11:59pm EST.
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-deep-learning/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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DTSTART;TZID=UTC:20250122T130000
DTEND;TZID=UTC:20250122T150000
DTSTAMP:20260908T042212
CREATED:20250121T080003Z
LAST-MODIFIED:20250123T220106Z
UID:1730-1737550800-1737558000@radcollaboratory.rutgers.edu
SUMMARY:RAD Collaboratory Inaugural Networking Event
DESCRIPTION:Please join us for the Inaugural Networking Event of the Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory on Wednesday\, January 22\, 2025. \nRegistration: Click here to register. \nDiscussion Topics: \n\nVision\, Mission\, and Structure of the RAD Collaboratory.\n\nSupport for development of multi-Principal Investigator AI/ML and Data Science research projects and federal grant applications. \n\n\nCall for applications for Postdoctoral Fellowships in AI/ML and Data Science. \n\n\nHands-On AI/ML Training Sessions: Scheduled for Feb 18th\, Mar 18th\, and Apr 8th. \n\n\nSupport for undergraduate researchers in AI/ML and Data Science. \n\n\nEvent programming for Spring Semester 2025. \n\n\nTime & Location: \n\nDate:  Wednesday\, January 22\nTime: 1:00 pm – 3:00 pm (Light reception to follow)\nLocation: Room 120\, Institute for Quantitative Biomedicine (Building labeled Proteomics)\n\nWe encourage all attendees to bring their laptops for the first portion of the event. \n\nParking Information: \n\n\nRutgers Students\, Staff\, and Faculty:  Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty and Staff lots across campus. Please adhere to parking permit restrictions. Faculty and staff with valid permits may park in the Faculty & Staff lots across all campuses.\n\n\n\n\nLot 58: 165 Bevier Rd\, Piscataway\, NJ 08854\nLots A\, B\, and C: 679 Hoes Lane West\, Piscataway\, NJ 08854\n\n\n\n\nParticipants not affiliated with Rutgers: Please contact the IQB Building Manager\, Hank Wojciechowski\, at henry.wojciechowski@rutgers.edu with the following information: License State; License Number; Make; Model; Year; Color; and Registered Owner of Vehicle. Parking for participants not affiliated with Rutgers will be available in Lots A\, B\, and C (Address: 679 Hoes Lane West\, Piscataway\, NJ 08854). Important Reminder: Please adhere to parking lot signage\, as an ePermit does not override signage such as “guaranteed” or “reserved” parking.\n\n\n\n\nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/inaugural-networking-event/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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