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X-WR-CALNAME;VALUE=TEXT:糖心原创
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TZID:America/New_York
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DTSTART:20251102T020000
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TZOFFSETTO:-0500
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DTSTART:20260308T020000
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UID:calendar.599276.field_event_date.0@www.wright.edu
DTSTAMP:20260219T203902Z
CREATED:20251029T184916Z
DESCRIPTION:Speaker: Professor Yang LiuTitle: Introduction to Transformer M
 odels in AI Science and BiostatisticsDate: November 14th 2025Room: Math an
 d Microbiology Building 271Time: 3:00-4:00 pmMeet and Greet: 2:30-3:00 pm\
 , Lounge - 222 MM\, November 14\, 2025.Abstract: Transformer models now pl
 ay a major role in modern AI\, and systems like ChatGPT have shown how wel
 l they can capture complex dependence structures in language data. This ta
 lk will begin with an intuitive overview of how transformers work\, introd
 ucing embeddings as flexible data representations and self-attention as a 
 way for the model to determine which elements are most relevant. I will th
 en show how the same ideas appear in models like BERT for text understandi
 ng and Vision Transformers for image analysis. The talk will also cover ap
 plications of transformers in biostatistics\, with examples in clinical no
 te interpretation\, longitudinal health records\, and outcome prediction.A
 bout the Speaker: Dr. Yang Liu is an associate professor of Statistics in 
 the Department of Mathematics and Statistics at 糖心原创. H
 is research interests focus on developing statistical and computational me
 thods for genomic and biomedical studies.
DTSTART;TZID=America/New_York:20251114T150000
DTEND;TZID=America/New_York:20251114T160000
LAST-MODIFIED:20251104T210623Z
LOCATION:Math & Microbiology Blg 271
SUMMARY:Mathematics and Statistics Colloqium Talk
URL;TYPE=URI:/events/mathematics-statistics-colloqium
 -talk
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