1st European Summer School on Artificial Intelligence (ESSAI) & 20th Advanced Course on Artificial Intelligence (ACAI) , Ljubljana 2023
36 Lectures · Jul 24, 2023
About
The European Summer School on Artificial Intelligence (ESSAI) is a direct product of European AI research being increasingly coordinated and scaled up across projects, research organisations and countries. ESSAI’s immediate predecessors are the Advanced Course on AI (ACAI), organised since 1985 under the auspices of the European Association for Artificial Intelligence (EurAI), and the TAILOR Summer School on Trustworthy AI organised since 2021 by the European ICT-48 Network of Excellence on Trustworthy AI through Integrating Learning, Optimisation and Reasoning. Last year, these two schools were already co-located in Barcelona with two parallel tracks as well as joint events.
For more information visit essai.si
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Uploaded videos:
Opening
ESSAI and ACAI Opening
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Keynote
Foundation Models
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Round tables
AI for Science
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AI for Society
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1st European Summer School on Artificial Intelligence (ESSAI)
Temporal Reasoning in AI: an introduction
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AutoML: Accelerating Research on and Development of AI Applications
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From Statistical Relational to Neural Symbolic Artificial Intelligence
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Pills of Answer Set Programming
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Formal Explainability in Artificial Intelligence
Sep 01, 2023
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Explaining and Repairing Description Logic Ontologies
Sep 01, 2023
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Machine Learning Beyond Static Datasets
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Smart-sized Benchmarking for Black-Box Optimization
Sep 01, 2023
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Probabilistic Circuits: Deep Probabilistic Models with Reliable Reasoning
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Learning to act and plan
Sep 01, 2023
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Foundations of Automated Planning
Sep 01, 2023
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Model Uncertainty in Sequential Decision Making
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Uncertainty Quantification in Machine Learning
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Automated Verification of Multi-Agent Systems. Why, What, and Especially: How?
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Continual learning for image classification
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Multi-Objective Reinforcement Learning
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Statistical evaluation of the performance of machine learning models
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AI fairness and privacy: fundamentals, synergies and conflicts
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Knowledge representation and reasoning with ontologies
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Practical Applications of Artificial Intelligence for Robotics
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Machines Climbing Pearl’s Ladder of Causation
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20th Advanced Course on Artificial Intelligence (ACAI)
Computational Scientific Discovery and Process-Based Modelling
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Symbolic AI with Knowledge Graphs and Ontologies
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Automated modelling and design of dynamical systems in the life sciences
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The future of governing equations
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Closed-Loop Automation of Scientific Research
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Formalisation of Scientific Knowledge
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Basic Ideas in Quantum Machine Learning
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