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X-WR-CALNAME:Rutgers Institute for Health
X-ORIGINAL-URL:https://live-institute-for-health.pantheonsite.io
X-WR-CALDESC:Events for Rutgers Institute for Health
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TZID:UTC
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TZOFFSETFROM:+0000
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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20261007T090000
DTEND;TZID=UTC:20261007T160000
DTSTAMP:20260917T223500
CREATED:20260917T165024Z
LAST-MODIFIED:20260917T191407Z
UID:7793-1791363600-1791388800@live-institute-for-health.pantheonsite.io
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 \n\nObjectives for the day: From consumption to creation.\nThe “AI Scientist” concept: Moving beyond chatbots to research agents.\n\n09:30 AM – 10:15 AM | Session 1: AI’s Enhanced Role in Science and Research \n\nShift from “AI as a Tool” to “AI as a Partner.”\nCase studies: Accelerating literature reviews\, hypothesis generation\, and experimental design.\nDiscussion: How Generative AI is reshaping the scientific method itself.\n\n10:15 AM – 11:00 AM | Session 2: Google Cloud for Science & Gemini’s Science Vision \n\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 – Demonstration for HPC Applications \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 – 02:30 PM | Session 4: Computer Systems Design with Google AI \n\nObjective: Co-design an AI accelerator chip using AI agents.\nActivity: The “Architect vs. Critic” Loop.\nBuild an adversarial agent system to propose and critique memory hierarchies.\nRun JAX-based trace simulations (MoE workloads) driven by Vertex AI Vizier.\nAnalyze the Pareto Frontier of the results using Gemini.\nOutcome: A data-backed specification for a 2026-era AI processor.\n\n02:30 PM – 02:45 PM | Afternoon Break \n02:45 PM – 04:15 PM | Session 5: Lab – Bioinformatics with Google AI Tools \n\nObjective: Accelerate genomic analysis or protein folding tasks.\nActivity: Using Gemini to parse complex biological datasets\, generate analysis scripts (Python/R)\, and visualize protein structures (AlphaFold integration or similar).\nOutcome: A working prototype for a bio-data pipeline.\n\nPart IV: Conclusion\n04:15 PM – 04:30 PM | Closing & Next Steps \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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