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DTSTART;TZID=UTC:20261007T090000
DTEND;TZID=UTC:20261007T160000
DTSTAMP:20260930T185356Z
CREATED:20260917T165024Z
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SUMMARY:Rutgers AI/High Performance Computing Workshop
DESCRIPTION:Rutgers AI/HPC Workshop: AI-Driven Research at Rutgers \nREGISTRATION IS REQUIRED. SPACE IS LIMITED! \nRegister to attend: https://shprutgers.jotform.com/262576127488166 \n  \nAgenda \nPart I: The Vision & The Platform\nSetting the stage for the new era of scientific discovery. \n09:00 AM – 09:30 AM | Welcome & Opening Remarks (Matt Kanoff – Google Antonina Mitrofanova & Leslie Lenert – Rutgers)  \n\nIntroductions\nObjectives for the day: From consumption to creation\n\n09:30 AM – 10:15 AM | Session 1: AI at Rutgers (Andy Page – Rutgers OIT & Terrell Moore – Google)  \n\nGoogle at Rutgers – A peak at existing projects\nAI at Rutgers – Voice of the customer\n\n10:15 AM – 11:00 AM | Session 2: Google Cloud for Science & Gemini’s Science Vision (Adnan Khaleel & Bhanchand Prasad – Google) \n\nShift from “AI as a Tool” to “AI as a Partner.”\nThe “AI Scientist” concept: Moving beyond chatbots to research agents.\nCase studies: Accelerating literature reviews\, hypothesis generation\, and experimental design.\nDiscussion: How Generative AI is reshaping the scientific method itself.\nIntroduction to the Gemini model family\n\nPart II: Demonstrations & Application\nSeeing the tools in action before taking the wheel. \n11:15 AM – 12:00 PM | Session 3: Demo – AlphaEvolve for HPC Applications – (Adnan Khaleel – Google)  \n\nLive Demo: Evolutionary algorithms optimizing High-Performance Computing (HPC) code.\nShowcase: Automating code discovery and performance tuning.\nQ&A: Integrating Alpha-based tools into existing TAMU workflows.\n\n12:00 PM – 01:00 PM | Networking Lunch (provided) \nPart III: Hands-On Labs (The “Builder” Phase)\nInteractive sessions where attendees build real AI workflows. \n01:00 PM – 01:45 PM | Capricorn demo and discussion (Terell Moore – Google & Dr. Evan Johnson – Rutgers) \n\nCapricorn: AI-powered framework that utilizes Google’s Gemini models to assist clinicians with systematic literature reviews by cross-referencing patient-specific medical cases with public databases like PubMed in minutes instead of days.\n\n01:45 PM – 02:30 PM | GCP AI Infrastructure\, DWS (Bhanchand Prasad – Google) \n\nIntroduction to AI and HPC using GCP\n\n02:30 PM – 02:45 PM | Afternoon Break \n02:45 PM – 04:15 PM | Session 4: Lab – Molecular Dynamics and Real-Time Visualization (Adnan Khaleel – Google)  \n\nObjective: How to run NAMD\, a molecular dynamics simulation program\, on GPUs using the Google Cloud Cluster Toolkit\, running the NVIDIA NAMD Container on Slurm.\nActivity: This guide provides instructions on how to run NAMD\, a molecular dynamics simulation program\, on GPUs using the Google Cloud Cluster Toolkit\, running the NVIDIA NAMD Container on Slurm using Apptainer\, and using VMD to visualize the molecular structures. Cluster Toolkit is an open-source software offered by Google Cloud\nOutcome: VMD is a molecular visualization program for displaying\, animating\, and analyzing large biomolecular systems using 3-D graphics and built-in scripting\, and using the techniques in this example\, users will be able to run their own molecular dynamics simulations\, and visualize the 3-D results.\n\nPart IV: Conclusion\n04:15 PM – 04:30 PM | Closing & Next Steps (Adnan Khaleel & Matt Kanoff – Google)  \n\nRecap of tools used (Vertex AI\, Vizier\, Gemini).\nFinal Q&A.
URL:https://live-institute-for-health.pantheonsite.io/event/rutgers-ai-high-performance-computing-workshop/
LOCATION:RWJMS Research Tower\, 675 Hoes Lane West\, Room 822/824\, Piscataway\, NJ\, 08854\, United States
CATEGORIES:Biomedical Informatics
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DTSTART;TZID=UTC:20261022T150000
DTEND;TZID=UTC:20261022T160000
DTSTAMP:20261014T190344Z
CREATED:20261014T182319Z
LAST-MODIFIED:20261014T190344Z
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SUMMARY:Center for Biomedical Informatics & Health AI International Guest Lecture with: Seng Chan You\, MD\, PhD
DESCRIPTION:Center for Biomedical Informatics & Health AI International Guest Lecture\n“Leveraging AI for Research and Clinical Practice”\n  \nSeng Chan You\, MD\, PhD\, Associate Professor\, Department of Biomedical Systems Informatics\, Yonsei University College of Medicine\, Seoul\, Republic of Korea\n  \nFrom research to the bedside\, AI is reshaping healthcare\, but real impact takes more than innovation. Drawing on experience at Yonsei University in South Korea\, this lecture explores how AI can accelerate clinical research using large-scale real-world health data\, and introduces the Y-KNOT project\, an on-premises large language model built into electronic health records. Through real examples of automated clinical documentation\, prospective evaluation\, and post-deployment monitoring\, you’ll see both the promise and the practical challenges of bringing generative AI into clinical settings\, plus a look ahead at AI agents that can retrieve\, synthesize\, and interpret patient information over time. Join us to learn how bridging development\, rigorous evaluation\, and implementation can unlock AI’s full potential in healthcare.\n  \nIFH 3rd Floor Conference Room\, 112 Paterson Street\, New Brunswick (email Ethan at erf112@shp.rutgers.edu if you can attend in person!)\n  \nRegister to Attend Via Zoom: https://rutgers.zoom.us/meeting/register/R2TIrZzZQf6mQlbd5g-ivQ
URL:https://live-institute-for-health.pantheonsite.io/event/center-for-biomedical-informatics-health-ai-international-guest-lecture-with-seng-chan-you-md-phd/
LOCATION:112 Paterson Street\, New Brunswick
CATEGORIES:Biomedical Informatics
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