Computer Vision

Background Accurate forecasting of Arctic sea ice is a critical challenge in climate science, with implications for shipping routes, ecosystem monitoring, and climate modelling. Recent work has shown that deep learning models can produce skillful sea ice forecasts and downscaled sea ice concentration (SIC) maps, often outperforming classical numerical methods at certain lead times and spatial scales. A central open question in this space is what constitutes the strongest deterministic baseline before introducing probabilistic or generative approaches. ...

Background The i-RASE project is a high-impact research collaboration that brings together leading international partners, including DTU Space and DTU Compute, to develop the first real-time photon-by-photon radiation detector. This novel system has transformative potential in fields such as medical imaging, industrial inspection, scientific space instrumentation, and environmental monitoring, where rapid, precise photon detection is essential. The project seeks to design an intelligent, compact, and energy-efficient system-in-package (SIP) that combines physics-inspired artificial neural networks with advanced signal processing to achieve unprecedented accuracy and speed in photon interaction detection. ...