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)
Developing green wall panels for capturing CO2. CarbonTurf is a startup that focuses on reversing the climate change through an innovative approach known as “green carbon capture.” By transforming urban landscapes into powerful carbon sinks, we aim to enhance the beauty of our cities. At the moment, we are working on the development of carbon-negative […]
Calibration-free webcam eye-tracker based on deep learning DeepEye records eye movements using a regular webcam and cutting-edge AI algorithms. Eye-tracking is widely used to understand how humans process information. This information provides solutions for scientific research, marketing & advertising, building human-computer interfaces, and diagnosing mental disorders. DeepEye is designed to make eye-tracking available to everyone […]
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 […]