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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:20251007T093000
DTEND;TZID=UTC:20251007T143000
DTSTAMP:20260701T045232
CREATED:20250815T080028Z
LAST-MODIFIED:20250929T154457Z
UID:2469-1759829400-1759847400@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/ai-dl-sept30/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T140000
DTEND;TZID=UTC:20251007T144500
DTSTAMP:20260701T045232
CREATED:20251006T194133Z
LAST-MODIFIED:20251006T204053Z
UID:2573-1759845600-1759848300@radcollaboratory.rutgers.edu
SUMMARY:Instrument Data Management and Automation (virtual event in partnership with Globus)
DESCRIPTION:REGISTER HERE »\n\n\n\nPlease contact Forough Ghahramani forough.ghahramani@njedge.net with any questions. \nPlease feel free to share with your networks. This event is part of the Edge Research Data Management Webinar Series in partnership with Globus. \nRachana Ananthakrishnan\,\nExecutive Director and Head of Products \nInstrument Data Management and Automation\nOctober 7\, 2025  •  2:00 – 2:45 PM (ET) \nManaging research data and compute tasks is increasingly complex and time-consuming\, especially with the scale of modern instruments and collaborative projects. This session offers a practical overview of how Globus services enable the automation of research data and compute management\, and thus eliminates repetitive manual steps and accelerates progress across every stage of the research data lifecycle. \nWe will present an overview of capabilities in the Globus platform for automation use cases\, including routine data backup and integrity checks\, end-to-end management of data from instruments such as cryoEM\, next-generation sequencers\, and fMRI. The presentation will share case studies where these services are used to support instrument data processing at scale from acquisition\, to analysis and publication\, and for cases where automation is used to enforce best practices and secure policies. \nPre-requisites: Some knowledge of Globus \nTarget Audience: Researchers\, IT professionals\, Developers\, Instrument facility managers \nAbout the Presenter: Rachana Ananthakrishnan leads the Globus department\, which delivers a research IT platform to national and international research institutions. She currently serves on the Internet2 InCommon Steering Committee\, Earth System Grid Federation Executive Committee\, and Scientific Advisory Board for National Microbiome Data Collaborative. \nHer work is focused on cyberinfrastructure for enabling research across a variety of domains\, and she has led security and data management for several NSF\, DOE\, and NIH funded initiatives. Rachana was a member of the Globus Toolkit engineering team and customer engagement teams\, leading the efforts in web services and security technologies. Rachana received her MS in Computer Science at Indiana University\, Bloomington. \nAbout Edge\nEdge serves as a member-owned\, nonprofit provider of high performance optical fiber networking and internetworking\, Internet2\, and a vast array of best-in-class technology solutions for cybersecurity\, educational technologies\, cloud computing\, and professional managed services. Edge provides these solutions to colleges and universities\, K-12 school districts\, government entities\, hospital networks and nonprofit business entities as part of a membership-based consortium. Edge’s common good mission ensures success by empowering members for digital transformation with affordable\, reliable and thought-leading purpose-built\, advanced connectivity\, technologies and services. \nwww.njedge.net
URL:https://radcollaboratory.rutgers.edu/event/instrument-data-management/
CATEGORIES:Regional/National Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20251007T140000
DTEND;TZID=UTC:20251007T153000
DTSTAMP:20260701T045232
CREATED:20251013T131252Z
LAST-MODIFIED:20251013T131252Z
UID:2620-1759845600-1759851000@radcollaboratory.rutgers.edu
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://radcollaboratory.rutgers.edu/event/r-for-data-analysis-a-tidyverse-approach/
CATEGORIES:Rutgers Events
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