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X-ORIGINAL-URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
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:20251007T093000
DTEND;TZID=UTC:20251007T143000
DTSTAMP:20260918T140745
CREATED:20250815T080028Z
LAST-MODIFIED:20250929T154457Z
UID:2469-1759829400-1759847400@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training​
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 NOTE: The September 30 session has been rescheduled to October 7 – 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://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/ai-dl-sept30/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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DTSTART;TZID=UTC:20251007T140000
DTEND;TZID=UTC:20251007T153000
DTSTAMP:20260918T140745
CREATED:20251013T131252Z
LAST-MODIFIED:20251013T131252Z
UID:2620-1759845600-1759851000@live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io
SUMMARY:R for Data Analysis: A tidyverse Approach
DESCRIPTION:This session introduces the R statistical software environment\, basic methods of data analysis\, and the “tidyverse.” While R is much more than the tidyverse\, the development of the tidyverse packages\, led by RStudio\, has provided a powerful and connected toolkit to get started using R. Note that graphics and data manipulation are covered in subsequent sessions. \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_R \nInstructor: Ryan Womack \n\n  \n\nRelated LibGuide:  Data Science – Graduate Specialists by Ryan Womack
URL:https://live-rutgers-data-science-and-ai-collaboratory.pantheonsite.io/event/r-for-data-analysis-a-tidyverse-approach/
CATEGORIES:Rutgers Events
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