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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:20250205T150000
DTEND;TZID=UTC:20250205T170000
DTSTAMP:20260502T122841
CREATED:20250123T080023Z
LAST-MODIFIED:20250207T200807Z
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SUMMARY:Artificial Intelligence in Biomedical Research and Medicine: Implications for Neurological and Psychiatric Diseases
DESCRIPTION:Join the Rutgers NeuroTechnology Innovation Center for their NTICe Innovation Forum on Artificial Intelligence in Biomedical Research and Medicine on Wednesday\, February 5\, 2025. \nRegistration: Email Denise Fedele at denise.fedele@rutgers.edu \nDescription: Artificial Intelligence in Biomedical Research and Medicine: Implications for Neurological and Psychiatric Diseases. Featuring presentations by: \n\nW. Evan Johnson\, PhD\, Director\, Center for Data Science\, Center for Immunity & Inflammation\, Department of Medicine\, NJMS\, Rutgers Health\nAmy Rockman\, Manager\, Data Analytics\, Office of Clinical and Health Affairs\, Director\, Artificial Intelligence\, Center of Excellence\, RWJBarnabas\, Rutgers Health\nJudah Goldschmiedt\, MD\, Director\, Radiology Informatics\, Department of Radiology\, NJMS\, Rutgers Health\nDaniel Donoho\, MD\, Assistant Professor of Neurological Surgery\, George Washington University School of Medicine and Health Sciences\n\nA panel discussion will follow. Light refreshments to be provided.This event aims to provide the opportunity for discussion with AI experts at Rutgers to foster collaborations that can advance the understanding and use of AI in medicine\, translational research\, and neurotechnology development. \nTime & Location: \n\nDate:  Wednesday\, February 5\, 2025\nTime: 3:00 pm – 5:00 pm\nLocation: Clinical Academic Building\, room 3405\, 125 Paterson Street\, New Brunswick\, NJ 08901.  Public parking is available at the Paterson parking deck across the street. Attendees with Rutgers parking permits can contact Denise Fedele at denise.fedele@rutgers.edu to arrange validated parking.\n\n\n\nQuestions: Contact Denise Fedele at denise.fedele@rutgers.edu \n 
URL:https://radcollaboratory.rutgers.edu/event/ai-biomedical-research-medicine/
LOCATION:NJ
CATEGORIES:Rutgers Events
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DTSTART;TZID=UTC:20250210T154500
DTEND;TZID=UTC:20250210T170000
DTSTAMP:20260502T122841
CREATED:20250210T080042Z
LAST-MODIFIED:20250210T144652Z
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SUMMARY:Seminar: Data Science/AI for Extreme Events: Climate and Biodiversity
DESCRIPTION:Rutgers University-New Brunswick \n\n\n\n\nSchool of Environmental and Biological Sciences\, Department of Environmental Sciences  \nFaculty Candidate Seminar \nData Science/AI for Extreme Events: Climate and Biodiversity \nHybrid Seminar \n \nDr. Yanlei Feng \nMassachusetts Institute of Technology \nForests Under a Changing Climate: Increasing Extreme Storms Uproot More Trees and Impact Forest Carbon Dynamics \nMonday February 10\, 2025 at 3:45 p.m. \nRoom 101\, IFNH bldg. or Remote Live option \n\n\n\n\nHost: Anthony Broccoli
URL:https://radcollaboratory.rutgers.edu/event/seminar-climate/
LOCATION:NJ
CATEGORIES:Rutgers Events
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DTSTART;TZID=UTC:20250218T093000
DTEND;TZID=UTC:20250218T110000
DTSTAMP:20260502T122841
CREATED:20250207T080029Z
LAST-MODIFIED:20250207T205632Z
UID:1813-1739871000-1739876400@radcollaboratory.rutgers.edu
SUMMARY:AI/DL Tutorials: Introduction to Deep Learning
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-deep-learning/
LOCATION:NJ
CATEGORIES:RAD Collaboratory Events,Rutgers Events
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