Welcome to the Research Triangle AI Society (RTAI), a nonprofit organization dedicated to advancing the understanding and application of Artificial Intelligence (AI) within the North Carolina Research Triangle area and beyond.
Join us for the Research Triangle AI Society's 2025 Year-End Fireside Chat!
As we close out an extraordinary year in AI, join leading experts from Duke, UNC, OpenAI, and the Triangle tech community for an engaging discussion about the transformative developments of 2025 and what lies ahead.
Time: Dec 10, 2025, Wed, 6:30-8:30 PM
Address: Apex Community Center, Summit Room
53 Hunter St, Apex, NC 27502
Agenda:
We've noticed that many friends are using various AI programming tools, with significant improvements in productivity. RTAI has decided to organize a series of sharing sessions so that everyone can learn from each other and progress together.
First Event Details
Time: Sunday, 11/30 at 8:30 PM (Thanksgiving long weekend)
Title: From Search to Answers, what you should know about RAG
Speaker: Mr. Kelvin He, AI Data Scientist, Lenovo
Time: 10/29/2025, Thursday, 8:00 PM
Content:
Time: Nov 12, 2025, Wed, 6:30-8:30 PM
Address: Apex Community Center, Summit Room
53 Hunter St, Apex, NC 27502
Agenda:
Time: October 12, 2025 (Sunday) 8:30 PM - 10:00 PM
Content:
This event is co-hosted by TriCLS (Triangle Chinese Language School) and RTAI.
Major breakthroughs and development trends in AI
Prompt engineering and context engineering
AI Agents: concepts, architecture, and real-world applications
Journal Club: LLM Agents for Biostatistics Analysis
Co-hosted by Boya AI Club and Research Triangle AI Society (RTAI)
Time: Monday 9/8, 10:00 PM (Eastern time) | 7:00 PM (Pacific time).
Speaker: John Guo
Senior Biostatistician, Alkahest - Leading pre-diagnostic biomarker research in Parkinson's disease.
Director, RTAI - Al enthusiast driving educational and community initiatives, promoting the responsible use of Al in science and society.
Topic: Time Series Prediction Using Neural Networks With Attention
Speaker: Dr. Thomas Li, Ph.D. in Mathematics, Courant Institute
Time: 8/31/2025, Sunday 8:30 PM EDT
Yu Yang (Ph.D., PE, PMP) had worked as a water engineer for about 10 years. Currently he is working full time as a data scientist. His primary interests include web development, machine learning, AIGC, and large language model (LLM). His representative side projects are as follows.
Chong Ding was born in Shenyang, China. After moving to the US in 2003, Chong received a master's degree in electrical engineering from University Missouri-Rolla, as well a MBA from Duke University. Chong is currently working on chip design for compute and AIs.
Chong's interests in AI goes back around 2015, at the time he finished several online courses such as Machine Learning, Udacity Deep Learning NanoDegree. Chong is interested in building applications based on large language models.
Jeff Du, a graduate from Sun Yat-sen University (中山大学) and Duke, has been working in bioinformatics and biostatistics for several years. Alongside his professional work in NGS data analysis and large scale programming work, he also has strong interest in applying AI techniques to everyday life. On weekends, he likes to spend time on projects involving computer vision and building his own home security system. In his free time, he also enjoys marathon running and participating in triathlons.
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