Blog

As the world’s cities continue to grow, land is becoming increasingly scarce. However, open space is vital in urban areas. Semiramis is a new approach to AI-augmented architectural design, allowing designers a quick and easy selection of feasible performance values and a qualitative evaluation of the generated geometries.

The lack of transparency of black-box models is a fundamental problem in modern Artificial Intelligence and Machine Learning. This work focuses on how to unbox deep learning models for image classification problems.

The creation of avalanche bulletins is still a largely expert-driven and manual task. DEAPSnow aims to explore the feasibility of using data-driven models to support the process of avalanche danger forecast.

The Datalakes project creates a user-friendly online platform that allows spatial and temporal analysis of lakes through hydrological and ecological data.

Can we extend the concept of word embeddings to any collection of items, possibly unordered? More precisely, can we learn representations from item sets, such as the product baskets in online retail or music playlists on streaming platforms?

Parkinson’s disease is a severe neurodegenerative disorder that affects an increasing number of people in the world. Understanding the underlying mechanisms and the neuronal basis of this disease is a key step in the endeavor to develop new therapies.