Science of AI & AI for Science

Leuven.AI scientific workshop 2024

Date
Monday May 27, 2024 from 9:00 AM to 4:30 PM
Location
Leuven University: Aula Rosalind Franklin (01.01) at Quadrivium - Celestijnenlaan 200H, 3001 Leuven
Price
free

Science of AI & AI for Science

The second Leuven.AI scientific workshop will zoom in on two perspectives on science and AI.

The "Science of AI" focuses on the study of artificial intelligence itself. It delves into the inner workings of AI algorithms, machine learning techniques, and the underlying mathematics that enable these systems. Understanding the science behind AI, we can develop more advanced AI models, improve their accuracy, speed, and transparency, and create intelligent systems with positive socioeconomic impacts.

"AI for Science" explores the fusion of artificial intelligence with scientific research, not only accelerating scientific discoveries but also examining its societal impacts and influence across various fields. Beyond enhancing, e.g., drug discovery, genomics, or astrophysics, AI's role extends to analyzing its effects on ethics, policy-making, healthcare, and more. Our exploration encompasses both advancing knowledge within specific domains and critically examining AI's broader impact on research, innovation, and society.

Join us for Leuven.AI's major scientific event.

Workshop speakers

 

 

 

Keynote speakers

  • Bastian Leibe,  RWTH Aachen
  • Joaquin Vanschoren, TU Eindhoven

Science of AI

  • Miryam de Lhoneux, Human-Computer Interaction
  • Aritra Konar,  STADIUS
  • Celine Vens​​​​, Public Health and Primary Care
  • Wannes Meert, DTAI

AI for Science

  • Stein Aerts, Laboratory of Computational Biology
  • Giovanni Lapenta, Plasma-astrophysics
  • Nikki Dries, Work and Organisation Studies
  • Johan Wagemans, Brain and Cognition

Program

 

 

08.30 - 09.00 Registration     
09.00 - 09.15 Opening by Leuven.AI director Luc De Raedt and Leuven.AI manager Jens Bürger    
09.15 - 09.30  Miryam de Lhoneux: Language technology for underrepresented languages
09.30 - 09.45  Wannes Meert: Machine Learning with constraints
09.45 - 10.00  Aritra Konar
10.00 - 10.15  Celine Vens
10.15 – 10.45 Coffee break
10.45 - 11.30  Keynote talk -  Bastian Leibe (RWTH)
11.30 - 12.30  Poster session 1 (mix of content)
12.30 - 13.30  Lunch break 
13.15 - 14.00  Keynote talk - Joaquin Vanschoren (TU/e)
14.00 - 15.00  Poster session 2 (mix of content)
15.00 - 15.30  Coffee break
15.30 - 15.45  Giovanni Lapenta
15.45 - 16.00  Nicky Dries: Imagining the (distant) future of work
16.00 - 16.15  Stein Aerts: Deep learning solutions to decipher the genomic regulatory code
16.15 - 16.30  Johan Wagemans: Predicting, explaining and understanding image aesthetics based on machine learning and human perception
16.30 - 18.00  Reception
 

Check the full program details here.