Call for Participation: 4th European Summer School on Artificial Intelligence (ESSAI 2026)
Mantas Simkus
Call for Participation
4th European Summer School on Artificial Intelligence (ESSAI 2026)
2nd International Summer School on Bilateral AI
6-10 July 2026, Vienna, Austria
https://essai2026.eu
*General Information*
ESSAI is the annual summer school on AI held under the auspices of the European Association for Artificial Intelligence (EurAI), and in 2026 it will encompass the 2nd International Summer School on Bilateral AI. ESSAI is the largest school of broad AI in Europe, offering courses in all areas of Artificial Intelligence and from a wide range of perspectives. Its thematic scope is analogous to major AI conferences like ECAI, IJCAI and AAAI, covering all AI subdisciplines and their interconnections. ESSAI is a central meeting place for AI students and young researchers to deepen their knowledge, broaden their perspectives, discuss current research, and build connections with other researchers.
*Registration is Open*
Registration fees and dates can be found at:
https://essai2026.eu/registration.php
***Early Registration Deadline: April 30, 2026***
***Register now to secure your spot at ESSAI 2026!***
*Location*
The fourth edition of ESSAI will be held in Vienna, a city where history and innovation walk side by side. Home to world-renowned universities and research centers, Vienna has inspired great thinkers for centuries—think of Erwin Schrödinger, Lise Meitner, Sigmund Freud, Kurt Gödel, Ludwig Wittgenstein, or the Vienna Circle. Today, Vienna continues to welcome students, scholars, and curious minds from around the globe. Vienna awaits you with world-class culture, groundbreaking science, and cozy coffee houses—all in a city celebrated for its quality of life.
*Tentative List of Long Courses*
1. AI for Autonomous Robots: Bridging Theory and Practice
2. Specification-Guided Reinforcement Learning
3. Introduction to Constraint Satisfaction
4. Why Is Symbolic Reasoning Computationally Hard?
5. Wikidata: A backbone for Hybrid/Bilateral AI
6. The Art of Compressing LLMs: Pruning, Distillation, and Quantization Demystified
7. Trustworthy AI
8. Data Driven Approaches in (Multi-objective) Bayesian Optimisation
9. Multi-Perspective Reasoning in Knowledge Representation: An Introduction to Standpoint Logic
10. Recommender Systems: Past, Present, and Future (Challenges)
11. Logic meets Learning
12. Beyond Breakpoints: AI for Software Fault Localization
13. Foundations of Concept-Based Interpretable Deep Learning
14. Learning Deep Low-dimensional Models from High-Dimensional Data: From Theory to Practice
15. Decision trees: from efficient prediction to responsible AI
16. Trustworthy Machine Learning from Data to Models
17. Reward and Constraint Learning: Foundations for Human-AI Alignment
18. Recurrent GNNs: The Power of Iteration
19. Knowledge Compilation: Theory, Practice, and Applications
20. AI for Fair and Transparent Decision-Making from Legal and Technical Perspectives
21. Uncertainty in Machine Learning: From Aleatoric to Epistemic
22. Tractable Circuits: A Common Language for Logic, Probability, and Neural Models
23. Modern Constraint Programming
24. From In-Context Learning to Neuro-Symbolic Reasoning with Large Reasoning Models
More details on the program can be found at:
https://essai2026.eu/