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Introduction to Artificial Intelligence

Closing remarks

Prof. Gilles Louppe
[email protected]

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Lecture 0: Artificial intelligence
Lecture 1: Intelligent agents
Lecture 2: Solving problems by searching
Lecture 3: Adversarial search
Lecture 4: Quantifying uncertainty
Lecture 5: Probabilistic reasoning
Lecture 6: Reasoning over time
Lecture 7: Machine learning and neural networks
Lecture 8: Making decisions
Lecture 9: Reinforcement learning

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Going further

This course is designed as an introduction to the many other courses available at ULiège and related to AI, including:

ELEN0062: Introduction to Machine Learning
DATS0001: Foundations of Data Science
INFO8010: Deep Learning
INFO8004: Advanced Machine Learning
INFO8003: Optimal decision making for complex problems
INFO0948: Introduction to Intelligent Robotics
ELEN0016: Computer vision
SPATXXXX: Machine Learning in Space Sciences (from 2023-2024)

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Research opportunities

Feel free to contact us

for research Summer internship opportunities
MSc thesis opportunities
PhD thesis opportunities

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Beyond Pacman

Artificial intelligence algorithms are transforming science, engineering and society.

As future engineers or scientists, AI offers you opportunities to address some of the world's biggest challenges.

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Build the next generation of aircrafts, cars, robots, ...
Make the next app that will change the world
Work on the next generation of medical devices, ...
Analyze large amounts of genomic data, process biomedical images, ...
Try to understand the brain, or the universe, ...
Discover new drugs, new materials, ...

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A note of optimism: Don't fear intelligent machines,
work with them (Garry Kasparov). ]

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Thanks for following Introduction to Artificial Intelligence!