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X-WR-CALNAME:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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:20250101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20251014T093000
DTEND;TZID=UTC:20251014T143000
DTSTAMP:20260429T113726
CREATED:20250815T080031Z
LAST-MODIFIED:20250925T184612Z
UID:2471-1760434200-1760452200@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
DESCRIPTION:The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is pleased to invite you to apply for a seat in four related Hands-on Artificial Intelligence/Deep Learning (AI/DL) Tutorials for Science and Engineering.\n\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:\nFour hands-on tutorials will help prepare Rutgers graduate students\, postdocs\, faculty\, and RAD Collaboratory SURF undergraduate students for success in research utilizing Artificial Intelligence (AI) and Deep Learning (DL) tools in science and engineering. As part of the training program\, participants will use the Texas Advanced Computer Center (TACC) Frontera supercomputer for online hands-on exercises that reinforce learning from short\, informative lectures.\n\nTutorial Dates/Topics:\n\nSeptember 9 – Introduction to Deep Learning ​\nSeptember 16 – Introduction to PyTorch ​\nSeptember 30 – Distributed Neural Network Training​\nOctober 14 – Large Language Models and their Applications in Science and Engineering\n\n\nRutgers graduate students\, postdocs\, faculty\, and ​RAD Collaboratory SURF undergraduate students are eligible to apply. Tutorials will be limited to 50 participants. ​\n\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. Participants who do not already have a TACC account must request one at https://tacc.utexas.edu/use-tacc/getting-started/.\nGetting approval and setting up the multi-factor authentication may take a few days.\n\nThe tutorials are the same as the sessions that were held in Spring 2025. If you already participated in the Spring 2025 sessions\, please do not apply.\n\nApplications are due by Monday\, September 1 at 5:00pm EDT. Apply at: http://go.rutgers.edu/ai-dl-tutorials
URL:https://radcollaboratory.rutgers.edu/event/ai-dl-oct14/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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DTSTART;TZID=UTC:20251014T140000
DTEND;TZID=UTC:20251014T153000
DTSTAMP:20260429T113726
CREATED:20251013T132331Z
LAST-MODIFIED:20251013T162701Z
UID:2617-1760450400-1760455800@radcollaboratory.rutgers.edu
SUMMARY:Data Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)
DESCRIPTION:Registration is required. There are 15 seats available. This is an online event. Event URL will be sent via registration email.\n\nClick here to register: https://libcal.rutgers.edu/event/14867197\nData Analysis 2 (statistical tests\, regression\, sampling\, bootstrap\, and more + comparison with Python)\n\n\nThis workshop reviews statistical tests\, regression\, sampling and bootstrap methods\, and more. The focus here is on implementing statistics using R\, with a comparison to Python techniques for accomplishing similar tasks. \nPart of the Data Topics series of workshops. \nWorkshop conducted via Zoom. Register to receive the Zoom link with instructions on how to connect. \nSupplemental materials are available at https://libguides.rutgers.edu/data_topics \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Topics by Ryan Womack
URL:https://radcollaboratory.rutgers.edu/event/data-analysis-2-statistical-tests-regression-sampling-bootstrap-and-more-comparison-with-python/
LOCATION:NJ
CATEGORIES:Rutgers Events
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