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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:20260505T083931
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:20251010T083000
DTEND;TZID=UTC:20251010T173000
DTSTAMP:20260505T083931
CREATED:20250821T080013Z
LAST-MODIFIED:20250821T152722Z
UID:2493-1760085000-1760117400@radcollaboratory.rutgers.edu
SUMMARY:5th Annual Rutgers Robotics Workshop 2025
DESCRIPTION:Faculty\, Students and Industry Participants are invited to join us for this annual event as part of the NSF National Research Traineeship SOCRATES (Socially Cognizant Robotics for a Technology Enhanced Society) at Rutgers. \n\nEvent Details\n\nDate: Friday\, October 10\, 2025\nLocation: Civic Square Building (33 Livingston Ave\, New Brunswick\, NJ)\nRegistration: Required (Free)\nRegistration Link: Register Here\n\nThis annual robotics workshop brings together faculty\, students\, and industry representatives featuring both internal and external speakers as well as a poster session for students to present their robotics research. \n\n\nWorkshop Agenda\n8:30 – 9:00 Check-in\n9:00 – 9:30 Introduction\n9:30 – 10:30 Plenary Speaker\, Dhruv Shah\, Google DeepMind\, UC Berkeley\n10:30 – 10:45 Poster Spotlight Talks\n10:45 – 11:45 Coffee break & Poster Session\n11:45 – 12:30 SOCRATES Faculty Lightning Talks: Socially Cognizant Robotics in Action\n12:30 – 1:30 Networking Lunch\n1:30 – 2:30 Industry/Alumni Lightning Talks: AI in industry\n2:30 – 3:15 Student Talks (NRT fellows/trainees)\n3:15 – 4:15 Afternoon Keynote\n4:30 – 5:30 Robot Demonstrations and Industry Consortium Discussion\n\n\n\nFeatured Speaker\n\n\n\n\n\nDhruv Shah\, PhD\nGoogle DeepMind & Incoming Assistant Professor at Princeton University \n“Evaluating and Improving Steerability of Generalist Robot Policies” \n\n\n\n\nBio\nDhruv Shah is a Senior Research Scientist at Google DeepMind and an incoming Assistant Professor at Princeton University. He recently obtained his PhD in EECS at UC Berkeley\, where he was advised by Sergey Levine. His research spans the fields of machine learning and robotics\, with the goal of building autonomous robots that can combine large-scale learning with real-world deployment. Dhruv is a Microsoft Future Leader in Robotics & AI (2024)\, Berkeley Fellow\, and his research has been nominated for and won several Best Paper Awards at premier robotics conferences like RSS and ICRA. His work has also been featured in several media outlets\, including IEEE Spectrum\, TechXplore\, and ZDNet\, along with several international venues. \n\n\nAbstract\nGeneral-purpose robot policies hold immense promise\, yet they often struggle to generalize to novel scenarios\, particularly struggling with grounding language in the physical world. In this talk\, I will first propose a systematic taxonomy of robot generalization\, providing a framework for understanding and evaluating current state-of-the-art generalist policies. This taxonomy highlights key limitations and areas for improvement. I will then discuss a simple idea for improving the steerability of these policies by improving language grounding in robotic manipulation and navigation. Finally\, I will present our recent effort in applying these principles to scaling up generalist policy learning for dexterous manipulation.
URL:https://radcollaboratory.rutgers.edu/event/socrates-wksp-2025/
CATEGORIES:RAD Collaboratory Events,Regional/National Events,Rutgers Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20251014T093000
DTEND;TZID=UTC:20251014T143000
DTSTAMP:20260505T083931
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/
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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