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: 
  1. 15/02 Remi Van Trijp (Sony Labs Paris)
  2. 22/2 Tias Guns (K.U.Leuven)
  3. 1/3 Tom De Smedt (Universiteit Antwerpen)
  4. 8/3  Vito Trianni (ULB IRIDIA)
  5. 15/3  Hugues Bersini (ULB IRIDIA)
  6. 22/3 Marco Saerens (UCL)
  7. 29/3 Alain Coletta and David Weiss
    • topic: Big data and bio-informatics
    • materials: video
  8. 19/4 Dimitri Dejonghe & Renaud Gillon (ONSemi)
  9. 26/4 Marie-Francine Moens
    • topic: From Information Extraction to Text Understanding
    • materials: slides // video part 1, part 2
  10. 3/5 Hugues Bersini
    • topic: agent-based modeling for socio-economical systems
    • materials: slides // video part 1, part 2