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X-WR-CALDESC:Events for Rutgers Institute for Health
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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20261007T090000
DTEND;TZID=UTC:20261007T160000
DTSTAMP:20260923T193755
CREATED:20260917T165024Z
LAST-MODIFIED:20260917T191407Z
UID:7793-1791363600-1791388800@ifh.rutgers.edu
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://ifh.rutgers.edu/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:20261007T120000
DTEND;TZID=UTC:20261007T130000
DTSTAMP:20260923T193755
CREATED:20260918T164848Z
LAST-MODIFIED:20260918T164848Z
UID:7801-1791374400-1791378000@ifh.rutgers.edu
SUMMARY:Alzheimer’s Disease and Related Dementias Translational Work-in-Progress Series
DESCRIPTION:Lihui Tu\, PhD\, Postdoctoral Researcher\, Herbert and Jacqueline Krieger Klein Alzheimer’s Research Center; Rutgers Institute for Health \n“Intraindividual sleep–activity dynamics as markers of neurocognitive risk” \nDr. Tu will discuss his specific aims and intended methodology for a potential grant application examining intraindividual sleep–activity dynamics as wearable-derived markers of neurocognitive risk. He is interested in feedback and suggestions to refine the characterization of temporal features and sleep–activity phenotypes\, and to identify the most appropriate approaches for relating these measures to cognitive performance\, cognitive change\, and incident MCI/ADRD. Dr. Tu’s research focuses on cognitive aging and ADRD\, with particular interests in digital phenotyping\, longitudinal data\, and scalable markers of early neurocognitive vulnerability. \nZoom: https://rutgers.zoom.us/j/94769804345?pwd=IMqJIIvuDmRl997R6O4U4NKbt6UWfs.1 \nMeeting code: 947 6980 4345 \nPasscode: 454288
URL:https://ifh.rutgers.edu/event/alzheimers-disease-and-related-dementias-translational-work-in-progress-series-4/
LOCATION:Zoom
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