AI@UHasselt
UHasselt has a mission as a civic university to gain insight into pressing societal questions. In recent years, the rise of artificial intelligence has progressively disrupted our society by bringing incredible potential but also unexplored risks.
Our researchers aim to help our international network of partners in the search for answers.
Doing so, we closely follow European initiatives, such as the AI act, that serve the same purpose of helping our society make the most of this upcoming technology.
Following the AI act, we adhere to the definition of Artificial Intelligence:
AI systems are designed to operate with a certain level of autonomy and, based on machine and/or human-provided data and inputs, infer how to achieve a given set of human-defined objectives using machine learning and/or logic- and knowledge based approaches, and produces system-generated outputs such as content (generative AI systems), predictions, recommendations or decisions , influencing the environments with which the AI system interacts.
Field of study/sector
- Higher Education & Research
- Across all disciplines (AI in general)
Past courses
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
From Bytes to Brilliance: A stakeholder perspective on data science challenges
symposium - Hasselt - Data Science Institute (UHasselt)
Introduction to AI and Machine Learning for Biomedical Research
training course - online - KU Leuven, VUB, UHasselt, UGent, VAIA
Big Data for Health & Care: The Arisal of Data Spaces
symposium - Hasselt - Hasselt University
How to set-up a Health Data Sharing Initiative
workshop - Diepenbeek - Hasselt University
Transitioning ML Workflows from Academia to Practice
two-day masterclass - Hasselt - UHasselt & VAIA
De-identification and anonymisation of sensitive data
Two-day course - Hasselt - VAIA, Flames Network & UHasselt
Challenges of implementing AI in the healthcare ecosystem
two-day masterclass - Hasselt - UHasselt, In4Care, HealthHouse, VAIA
Blog posts
MLOps: using machine learning efficiently
Do you understand how AI works? Then now is the time to learn how to implement AI models efficiently, in day-to-day practice: self-learning, self-directed, yet controlled. You can achieve this thanks to MLOps: a bundle of good practices that allows you to automate and optimise the entire AI process. Axel-Jan Rousseau (UHasselt, VAIA) explains how this works.
Experts
Stijn Vansummeren
professor of Computer Science at the Data Science Institute (UHasselt)
Melvin Geubbelmans
PhD researcher - UHasselt
Axel-Jan Rousseau
Postdoctoral researcher - UHasselt, AI expert - VAIA
Geert Jan Bex
Universiteit Hasselt
Peter De Jaeger
AZ Delta, UHasselt
Patrizia Zanoni
Geert Verbeke
KU Leuven, Hasselt University
Geert Molenberghs
Hasselt University, LStat (KU Leuven)