New article in Nature Machine Intelligence Our recent article published in Nature Machine Intelligence discusses the importance of interpretability of deep-learning models, in particular when used to achieve the Sustainable Development Goals: https://www.nature.com/articles/s42256-021-00414-y Do not miss the video discussion with the co-author of the study, Beril Sirmacek, where we talk about the implications for AI …
New review paper on urban flows In our latest review paper we assess novel experimental, numerical and data-driven methods to study the flow in urban environments, with the aim of improving air quality and urban sustainability. This was developed in collaboration with Pablo Torres and Soledad Le Clainche. The article is available open access here: https://www.mdpi.com/1996-1073/14/5/1310 Below you can see a visualization from one of the …
New paper on COVID-19 contact-tracing smartphone apps Building on previous work regarding contact-tracing apps for COVID-19, we have developed a complete framework to analyze the technical, social and governance aspects of their deployment. We analyze a total of 17 apps and provide recommendations for their deployment! You can find the article open access here: https://www.mdpi.com/2071-1050/13/5/2912 …
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