Youth Program: Two Student Speakers, Two Talks on What’s Really Inside AI
Join the RTAI Youth Program for an evening of student AI research featuring two talks on AI interpretability, privacy, safety, and the rise of local AI.
Tech Talk: Building an Integrated AI-Driven Oligonucleotide Therapy Platform
Join RTAI for a tech talk by Jeff Du on an AI-driven oligonucleotide therapeutics platform, from webserver architecture to personalized medicine.
Tech talk & networking: From Prediction to Autonomous Action: The Next Generation of Customer Intelligence
Time: Mon, 02/23/2026 - 18:30
Location: Frontier RTP, First Floor Classroom, 800 Park Offices Dr, Durham, NC 27713
Abstract:
This session explores how organizations can move beyond traditional dashboards toward autonomous AI systems that both predict customer needs and act on them. Drawing from real enterprise deployments and published research, Nidhi Sharma breaks down:
RTAI Youth Program: Co-living with AI: Your Blueprint for the Future
Title: Co-living with AI: Your Blueprint for the Future
Time: Feb 28, 2025, Wed, 6:30-8:30 PM
Address: Apex Community Center, Summit Room
53 Hunter St, Apex, NC 27502
Seminar: Why Friendly AI Can Still Cause Harm - “The Sins of the Teddy Bear” and other runtime governance pitfalls
Title: Why Friendly AI Can Still Cause Harm - “The Sins of the Teddy Bear” and other runtime governance pitfalls
Cold Weather, Warm Minds: RTAI Youth Program Winter In-Person Talk
Wednesday night (Dec 10th), despite unusually cold, below-freezing temperatures in North Carolina, our RTAI Youth Program winter in-person event was a full house! Parents and students braved the cold to gather at the Apex Community Center, filling the classroom with energy, curiosity, and excitement.
2025 Year-End Fireside Chat
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.
RTAI Youth Program Second Event
Time: Dec 10, 2025, Wed, 6:30-8:30 PM
Address: Apex Community Center, Summit Room
53 Hunter St, Apex, NC 27502
Agenda:
- Check in
- AI Introduction by Prof. Huiling Ding and Prof. Paul Liu
- Q & A
Show & Tell: AI Coding in Action
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)
Seminar: From Search to Answers, what you should know about RAG (Completed)
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:
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.
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.
- Chrome extension: Engineer Unit Converter
- AIGC related Book: Poems from Tang Dynasty Meet AI
Guoliang Cao was born in Hunan and graduated from Tsinghua University and the Institute of Computing Technology of the Chinese Academy of Sciences. Later, he came to the United States, where he has been working in computer software development for a long time. Since AlphaGo’s remarkable debut in 2016, when it defeated Go world champion Lee Sedol, Guoliang has focused on and studied Artificial Intelligence technologies, with research areas including Deep Learning, LLM and AI-assisted programming.