Climate change is affecting extreme weather – we identify how and when society is at risk
Beyond Weather predictability could provide societies with valuable information on weather-related risk, allowing decision-makers to initiate early warning action plans and to optimize resource management. Using Artificial Intelligence (AI), we are developing a rigorous data-driven framework that enables automatic detection of interpretable physical drivers on Beyond Weather timescales. Combining expert knowledge, causal inference and a variety of machine learning techniques, our tool has worked for science. Now we aim for societal impact by making predictions for stakeholders (e.g. NGO’s).
Read also the article at te VU website in the exhibition ‘A better World @ VU’ Artificial Intelligence for Long-term Weather Predictions – Meer over – Vrije Universiteit Amsterdam (vu.nl)
AI-based, wearable visual aid technology 1 in 30 Europeans suffers from visual impairment, and 75% of them are unemployed. Taking the form of a pair of glasses, Sonoptic is an AI based solution helps the visually impaired at work, at home and in education by providing three key features: Object identification – to help find […]
Fundamental Frequencies founders are two electronic engineers with a passion for music, and we’ve been talking to a lot of musicians and we’ve been asking them what do they really want? We keep getting the same reply. They want to go back to the sounds of the modular analog synthesizer of the 70‚Äôs. That’s why […]
We create Smart Campus Tools. We use sensors and data to improve campus experience for students, while also innovating campus management for the University. We started to develop the PLEQ-app, a study spot finder based on real time occupancy data of study rooms around campus. We want to create the future campus. A campus where […]