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-powered triage application. Crafting an AI-powered triage application designed to revolutionize initial patient assessments in healthcare. By harnessing the capabilities of advanced artificial intelligence, our project aims to mitigate excessive wait times and streamline the diagnostic process, enabling doctors and nurses to prioritize care with unprecedented efficiency. Our application leverages OpenAI’s sophisticated language models to […]
Bug hunting with DBugIT Suboptimal testing of software creates problems, such as delayed trains, financial losses and even accidents with losses of human lives. However, students consider sofwtare testing as a boring and unrewarding activity. We are DBugIT and we aim to change this situation and bring fun and excitement in software testing education. Our […]
Cost effective laboratory research We develop a laboratory where scientists can book and freely make use of sophisticated equipment without depending on other research teams or being forced to fully purchase the machines. Why Demonstrator Lab? I chose Demonstrator Lab because I am new to entrepreneurship and the D-Lab is here to help students from […]