This week, Florida State University will bring together experts on artificial intelligence and machine learning to explore the role of agentic AI — a type of AI that performs tasks and adapts to change with little human intervention — across industries including medicine, finance, education and more.
The 2026 Artificial Intelligence and Machine Learning Expo, AIMLX26, is set for Friday, Feb. 27, from 8:30 a.m. to 5 p.m. and Saturday, Feb. 28, from 10 a.m. to 2 p.m. at the Challenger Learning Center of Tallahassee, 200 S. Duval Street. The two-day event is presented by the FSU Interdisciplinary Data Science Master’s Degree Program.
On Friday, industry professionals and researchers from FSU’s Department of Computer Science, the FSU School of Information, OpenAI, the Massachusetts Institute of Technology, the University of Florida and Premera Blue Cross will present on topics ranging from the engineering of AI systems to their applications.
“The theme of this year’s event is agentic AI with a focus on how intelligent, autonomous and collaborative AI systems are reshaping research, industry and society,” said Zhe He, director of the Institute for Successful Longevity at FSU and a professor in the School of Information. “The program will explore topics such as multi-agent systems, large language model–based agents, decentralized and agentic web architectures, AI for scientific discovery, and real-world deployments in domains like health care, finance and enterprise systems.”
He, who is also affiliated with the Department of Computer Science, Department of Statistics, and the Department of Behavioral Sciences and Social Medicine in the College of Medicine, will present the lecture “Developing a Multi-Agent AI System for Explaining Lab Results to Older Adults.” This work is supported by a recent grant from the National Institute on Aging’s Artificial Intelligence and Technology Collaboratories for Aging Research and aims to help older Americans better understand how to use AI and other emerging technologies to better manage and act upon their health data.
He’s presentation will include his team’s work on LabGenie, a patient-and-caregiver facing application that is designed to improve health outcomes for consumers.
“The system is designed to translate complex laboratory data into patient-friendly, actionable insights that support better engagement, shared decision making, and improved health literacy and outcomes,” He said.
This year’s keynote speaker, Sherwin Wu, is a member of technical staff at OpenAI and leads engineering for the OpenAI Platform. His keynote address on Friday, “Slowly, and Then All At Once: A survey of AI agents over the last three years and a glimpse into the next three years,” will discuss industry trends since ChatGPT’s launch in 2022 and the current and future landscape of AI capabilities.
On Saturday, the Challenger Learning Center will host the local K-12 community for additional FSU faculty lectures as well as a series of interactive activities — the first event of its kind in AIMLX series history. Activities include learning about robotics, color coding magnets, basic programming, car challenges, binary number bracelet crafts and more that allow learners of all ages to participate.
“We’re highlighting the connection between what goes on at FSU on the scientific level and day-to-day applications of AI tools,” said Gordon Erlebacher, IDS program director and a professor in the Department of Scientific Computing, who will present Saturday on the rapid evolution of AI tools and their impact on daily life. “AI tools have so many uses that students should learn about, and the community day allows participants to directly ask FSU faculty questions about AI while providing a point of contact for the future. We hope that hearing from local experts who use these tools will make AI approachable and relatable.”
For a full schedule of presentations, events, topics, presenter details and more, visit the FSU Data Science event website.
AIMLX26 is sponsored by Florida State University, the FSU College of Arts and Sciences, the FSU College of Communication and Information, the FSU School of Information, the FSU Department of Computer Science, the FSU Department of Modern Languages and Linguistics, the FSU Department of Scientific Computing, the FSU Department of Statistics, the Challenger Learning Center of Tallahassee and Ruvos.