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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:20250408T130000
DTEND;TZID=UTC:20250408T163000
DTSTAMP:20260430T230540
CREATED:20250207T080041Z
LAST-MODIFIED:20250408T131314Z
UID:1810-1744117200-1744129800@radcollaboratory.rutgers.edu
SUMMARY:Artificial Intelligence/Machine Learning Networking Event
DESCRIPTION:Join the RAD Collaboratory for a Networking Event focused on Artificial Intelligence/Machine Learning on Tuesday\, April 8\, 2025. \nRegistration: Click here to register – please register by Monday\, April 7. \n\nAgenda: Click here to download the agenda. \n\nLightning talks focused on the development and application of AI/ML tools\nBriefings on university\, regional\, and national cyberinfrastructure supporting AI/ML research and training opportunities\nSummary of federal\, state\, and private funding mechanisms for RAD partnerships\nLight networking reception\n\nRequest for Lightning Talks: For those who manage Rutgers AI/ML projects\, you are invited to submit a presentation title and summary to present a 5-minute Lightning Talk at the April 8 event when you register. Please indicate your interest by Sunday\, March 30 at 11:59pm EDT. You will be notified by Tuesday\, April 1 if you have been selected to present. \nTime & Location: \n\nDate:  Tuesday\, April 8\, 2025\nTime: 1:00 pm – 4:30 pm\nLocation: Room 120\, Institute for Quantitative Biomedicine (building labeled Proteomics).\n\n\n\nParking: \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\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\nRutgers Bus System: If you’re using the Rutgers bus system\, the Alison Road Classroom (ARC) Building/Science Buildings bus stop is a short walk to IQB. The C\, REXB\, B\, A\, H\, and BL bus routes all stop at ARC. \nQuestions: Contact Michelle Sanghera at msanghera@iqb.rutgers.edu
URL:https://radcollaboratory.rutgers.edu/event/ai-networking/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250415T093000
DTEND;TZID=UTC:20250415T143000
DTSTAMP:20260430T230540
CREATED:20250207T080039Z
LAST-MODIFIED:20250207T205935Z
UID:1821-1744709400-1744727400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Distributed Neural Network Training
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-distributed-neural-network/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250416T120000
DTEND;TZID=UTC:20250416T130000
DTSTAMP:20260430T230540
CREATED:20250414T080012Z
LAST-MODIFIED:20250416T144334Z
UID:2295-1744804800-1744808400@radcollaboratory.rutgers.edu
SUMMARY:Seminar: Diamond: Democratizing Large Foundation Model Training for Science
DESCRIPTION:The Rutgers University Institute for Quantitative Biomedicine in collaboration with the RAD Collaboratory and the Protein Data Bank invite you to the following seminar: \n  \nZhao Zhang\, Rutgers University \nDiamond: Democratizing Large Foundation Model Training for Science \nWednesday\, April 16 | 12:00 PM \nIn Person: Proteomics Building\, Room 120\nZoom: go.rutgers.edu/gvyyc2xu \nAbstract: \nDiamond is a service designed to facilitate large model training across GPU clusters for scientists. It exposes web user interface to build container images\, manage training jobs\, monitor job progress\, and manage data and provenance across clusters. Diamond relies on Globus Auth\, Globus Transfer/Search\, and Globus Compute for authentication\, data management\, and container/job management. So far\, Diamond has been tested on NCSA Delta\, TACC Frontera\, and Lonestar6. We aim to release the alpha version of Diamond in early April and to support all NAIRR Pilot GPU resources. In this talk\, I will show a demo of running OpenFold using Diamond and discuss various opportunities of applying modern deep learning techniques for structural biology.
URL:https://radcollaboratory.rutgers.edu/event/seminar-april16/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20250426
DTEND;VALUE=DATE:20250427
DTSTAMP:20260430T230540
CREATED:20250210T080011Z
LAST-MODIFIED:20250210T184529Z
UID:1842-1745625600-1745711999@radcollaboratory.rutgers.edu
SUMMARY:Rutgers Day
DESCRIPTION:Visit the RAD Collaboratory table at Rutgers Day on Saturday\, April 26\, 2025! \nThe table will be located on the Busch campus.
URL:https://radcollaboratory.rutgers.edu/event/rutgers-day/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250429T093000
DTEND;TZID=UTC:20250429T143000
DTSTAMP:20260430T230540
CREATED:20250207T080050Z
LAST-MODIFIED:20250207T210128Z
UID:1823-1745919000-1745937000@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Large Language Models and their Applications in Science and Engineering
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-llm/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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