Current Trends in Artificial Intelligence
Time:
Although the course is scheduled for both semesters it will only start in the second semester. The lessons take place Fridays from 13:15 till 15:30 o'clock. in IRIDIA:
U.L.B. - Université Libre de Bruxelles
Campus Solbosch
Building C, 5th floor
87 av. Adolphe Buyl
A map with the location of building C can be found in the PDF below. Make sure to foresee at least 20 minutes travel time from the VUB campus to the ULB.
Lecturer:
Objectives:
- The student is able to participatie actively in a scientific debate.
- Student receives an overview of a variety of topics in artificial intelligence
Description:
This course is given together with the IRIDIA Lab at the ULB. Different (international) guest lecturers with an expertise in AI will give a talk about their current work in AI.
Examples from the previous years are: The New Science of Networks, Evolutionary Robotics, Neurorobotics, Complex Systems, Bio-Inspiration and Morphogenetic Engineering, Supervised Pattern Set Mining, Data-driven approaches to natural language processing, Computational models of the evolution of speech and language, Big data Bioinformatics.
Examination:
- Attendance in the lectures is obliged (friday afternoon). Each absence needs to be e-mailed beforehand.
- 60% of the grades come from a programming assignment about one of the lectures.
- The other 40% come from an oral exam about the lectures.
Schedule:
-
15/02 Remi Van Trijp (Sony Labs Paris)
- topic: language evolution
- materials: slides // video part 1 // video part 2
-
22/2 Tias Guns (K.U.Leuven)
- topic: the intersection between constraint solving and machine learning/data mining
- materials: slides // video part 1 // video part 2
-
1/3 Tom De Smedt (Universiteit Antwerpen)
- topic: computers & creativity
- materials: slides // book on 'modelling creativity' // video part 1 // video part 2
-
8/3 Vito Trianni (ULB IRIDIA)
- topic: evolutionary robotics
- materials: slides // video part 1 // video part 2
-
15/3 Hugues Bersini (ULB IRIDIA)
- topic: The science of complex networks
- materials: slides // video part 1 // video part 2
-
22/3 Marco Saerens (UCL)
- topic: Hidden Markov Models: A Short introduction
- materials: slides // video part 1 // video part 2
-
29/3 Alain Coletta and David Weiss
- topic: Big data and bio-informatics
- materials: video
-
19/4 Dimitri Dejonghe & Renaud Gillon (ONSemi)
- topic: Application of Machine Learning techniques in System-level Design
- materials: slides part 1, part 2 , part 3, // video part 1, part 2
- 26/4 Marie-Francine Moens
- 3/5 Hugues Bersini
