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.
🎤 Talk Title: Finding Your AI Niche: Insights from Real-World Success Stories
👨🔬 Speaker: Dr. Yuelong Guo
📅 Date & Time: 7/10/2025, Thursday 6:30 - 8:30PM
📍 In-person Location: Frontier RTP - Building 800 - Classroom B on 1st Floor
800 Park Offices Dr, Durham, NC 27713
💻 Online Access (via Zoom): https://zoom.us/j/98829104621?pwd=DftGffXchyx3TZk992djMoXNXR3OeM.1
为帮助家长和同学更直观地了解 RTAI 人工智能夏令营 的核心内容，我们将于五月底启动一系列 免费公开课。
首场公开课
Topic: What is Model Context Protocol (MCP)? A Complete Guide to AI Integration Standards
Speaker：Mr. Gao Dalie (高達烈) Tech Writer, YouTuber
Time: June 15, 2025 08:30 PM Eastern Time
Title: Getting Things Done with AI: What You Can Do with Prompts, Tools, and Agents
Speaker: Hunter Jiang, Phd Student @ NC State
Time: June 4th, 2025 08:30 PM Eastern Time
Title: Why and When a CPU is Sufficient for Your Business AI Needs
Speaker: Mr. Kelvin He, AI Data Scientist, Lenovo
Time: 6/1/2025 Sunday 8:30 PM
Zoom meeting: https://zoom.us/j/95471638024?pwd=9IGPXeAxrtK5JaZTQff8A3dctkfIwE.1
Meeting ID: 954 7163 8024
Passcode: 112233
Outline:
Topic: Introduction to Advanced Prompt Engineering: Mastering Al Communication Through Practical Dialogue
Time: Monday 4/21, 10:00 PM (Eastern time_ | 7:00 PM (Pacific time).
Ever wonder why the same Al tool yields amazing results for some users but frustrating ones for others? The key is effective prompting. This session explores prompt engineering via practical examples. Gain a framework to communicate your needs clearly and get Al to truly understand your intent.
📣@All 北卡三角区AI社群 +博雅 AI 俱乐部 联合论坛 📣
Research Triangle AI Society + Boya Al Club Joint Forum
☘️文献讨论会: AI智能体概览+“氛围编码”编写智能体
Journal Club: 10,000 feet overview of AI agent + hands on agent implementation with vibe coding
2024 - Large Language Model based Multi-Agents: A Survey of Progress and Challenges
2025 - Towards an AI co-scientist
☘️时间： 3月31日 美西晚上七点｜美东晚上十点 ｜中国 4月1日上午十点
Time：March 31, 7:00-8:30 PM (PT) | 10 PM (ET) | April 1, 10 AM (China)
☘️主讲: 郭跃龙， 一个普通人，没有显赫的背景，也不是技术界的权威。如果我可以成功部署一个智能体，那么你也同样可以。本次讲座面向对 AI 智能体感兴趣，却不知从何入手的初学者：别等了，快开始！
Topic: 实例演示：如何构建个人的量化自动交易系统--从理论到实盘操作
Time: Mar 30, 2025 08:00 PM Eastern Time (US and Canada)
Time: Mar 23, 2025 08:30 PM Eastern Time
Topic: 量化金融与 AI 入门介绍
Time: Mar 14, 2025 08:30 PM Eastern Time (US and Canada)
This talk will introduce and explore the basic framework for quantitative investment and AI's potential role. We will also discuss the "TradExpert" paper as an example usage of ChatGPT in quant investment process.
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.
Yi Li was born in Beijing, China. After obtaining the bachelor’s degree in Electrical Engineering, he came to the U.S. in 2005. He attended NYU and earned a master’s degree. After that, he has been working as a solution architect until recently becoming a freelancer. Since 2022, Yi has been involved in AI/ML, with interests in its application in the financial field and diffusion models.
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.
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