The 5th CAIML Symposium will bring together leading experts in research and practice as well as enthusiasts in the field of AI and ML.
We are pleased to announce the 5th CAIML Symposium on May 11, 2026. Following the success of our previous symposiums, CAIML Symposium 2022, CAIML Symposium 2023, CAIML Symposium 2024, CAIML Symposium 2025, this symposium will bring together leading experts in research and practice as well as enthusiasts in the field of Artificial Intelligence and Machine Learning to discuss the latest advancements, challenges, and opportunities. This year’s event introduces a new format designed to strengthen the dialogue between academic research and industry practice.
For the program details, see the symposium's website.
Bridging Research and Practice
This year, the symposium brings together researchers and practitioners to discuss shared challenges, exchange knowledge, and explore collaboration opportunities. Through a combination of keynote presentations and interactive breakout sessions, participants from academia and industry will work together on current AI challenges.
Two Focus Topics
Morning Session (09:00-12:30): AI in Coding & Agentic AI
Explore how AI is transforming software development - from intelligent code completion and automated debugging to agentic systems that autonomously plan and implement solutions. The session combines a visionary keynote with interactive breakout discussions, offering insights into current capabilities, limitations, and emerging trends in AI-assisted programming and Agentic AI systems in other application domains.
Afternoon Session (14:00-17:30): AI for Optimization & Prediction
Discover recent breakthroughs in AI-powered optimization and predictive modeling, and learn how these techniques can be used in real-world decision-making scenarios across industries. The session features a keynote on state-of-the-art solver technology, highlighting advances in hybrid CP-SAT approaches that combine constraint programming, SAT solving, and MIP techniques to tackle complex scheduling and resource allocation problems. Trough interactive breakout discussions, participants have the opportunity to discuss current challenges, application scenarios, and opportunities for collaboration between academia and industry.
The 5th CAIML Symposium will bring together leading experts in research and practice as well as enthusiasts in the field of AI and ML.
We are pleased to announce the 5th CAIML Symposium on May 11, 2026. Following the success of our previous symposiums, CAIML Symposium 2022, CAIML Symposium 2023, CAIML Symposium 2024, CAIML Symposium 2025, this symposium will bring together leading experts in research and practice as well as enthusiasts in the field of Artificial Intelligence and Machine Learning to discuss the latest advancements, challenges, and opportunities. This year’s event introduces a new format designed to strengthen the dialogue between academic research and industry practice.
For the program details, see the symposium's website.
Bridging Research and Practice
This year, the symposium brings together researchers and practitioners to discuss shared challenges, exchange knowledge, and explore collaboration opportunities. Through a combination of keynote presentations and interactive breakout sessions, participants from academia and industry will work together on current AI challenges.
Two Focus Topics
Morning Session (09:00-12:30): AI in Coding & Agentic AI
Explore how AI is transforming software development - from intelligent code completion and automated debugging to agentic systems that autonomously plan and implement solutions. The session combines a visionary keynote with interactive breakout discussions, offering insights into current capabilities, limitations, and emerging trends in AI-assisted programming and Agentic AI systems in other application domains.
Afternoon Session (14:00-17:30): AI for Optimization & Prediction
Discover recent breakthroughs in AI-powered optimization and predictive modeling, and learn how these techniques can be used in real-world decision-making scenarios across industries. The session features a keynote on state-of-the-art solver technology, highlighting advances in hybrid CP-SAT approaches that combine constraint programming, SAT solving, and MIP techniques to tackle complex scheduling and resource allocation problems. Trough interactive breakout discussions, participants have the opportunity to discuss current challenges, application scenarios, and opportunities for collaboration between academia and industry.
Good to know
Highlights
- 9 hours
- In person
Location
Agenda
-
Morning: AI in Coding & Agentic AI
for details, see https://caiml.org/news/213/