
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
we study the task of synthetic-to-real domain generalized semantic segmentation, which aims to learn a model that is robust to unseen real-world scenes using only synthetic data.

Novel Class Discovery in Semantic Segmentation (NCDSS)
We introduce a new setting of Novel Class Discovery in Semantic Segmentation (NCDSS), which aims at segmenting unlabeled images containing new classes given prior knowledge from a labeled set of disjoint classes.

Open e-Learning Platform on Artificial Intelligence for Primary Education
This e-learning space contains an ensemble of multilingual AI-STEM teaching and learning materials to support teachers and school students acquire digital skills and key competencies.

Machine Learning for Kids
This free tool introduces machine learning by providing hands-on experiences for training machine learning systems and building things with them.

BotSTEM
In a highly specialized and technologized world, a critical and competent citizenship in science and technology is more needed than ever.

OECD AI Principles overview
The OECD AI Principles promote use of AI that is innovative and trustworthy and that respects human rights and democratic values. Adopted in May 2019, they set standards for AI that are practical and flexible enough to stand the test of time.