Welcome to join this lecture and learn how data science and AI technologies can help advance medical research and clinical care toward a smarter future!

📌This lecture explores the fundamental differences and connections between Artificial Intelligence (AI), Biological Intelligence (BI), and Statistical Intelligence (SI). It highlights the critical role of data quality in shaping AI performance, addressing key issues such as input bias, data validity, and the distinction between samples and populations.

The speaker will further introduce SI as a bridge between AI and BI, emphasizing how statistically grounded inference and meaningful data can enhance decision-making and real-world applications, particularly in healthcare. The talk aims to provide insights into how integrating AI, BI, and SI can lead to more effective and reliable outcomes.

 📅 Lecture Information

▪️ Topic: AI, BI & SI—Artificial, Biological and Statistical Intelligences

▪️ Speaker: Dennis K.J. Lin (Distinguished Professor, Department of Statistics, Purdue University)

▪️ Date & Time: June 22, 2026 (Monday), 12:10–13:30

▪️ Venue: Room IR630, 6th Floor, International Academic Research Building, Kaohsiung Medical University

▪️ Registration Link: https://forms.gle/7tSXkDVrTqY2FJzd6

▪️ Registration Deadline: Until 12:00 PM, June 18, 2026 (Thursday); online registration only

▪️ Format: Hybrid (On-site: 60 participants; Online: unlimited)

▪️ Organizer: Biomedical Artificial Intelligence Academy of KMU, Department of Artificial Intelligence in Medicine of KMU

▪️ Note: ☕ Lunch will be provided for on-site participants. Everyone is welcome to join!

※ This lecture will be eligible for KMU faculty growth credits. Participants must complete both sign-in/out and the satisfaction survey to receive credit points.

We look forward to your participation!