We're thrilled to announce our groundbreaking development in lightning occurrence prediction, now featured on the Nature Communications Editors’ Highlights webpage under "AI and Machine Learning." Dive into our research freely accessible at https://lnkd.in/eYhkFU99, where we bridge traditional algorithms and AI to significantly enhance forecasting accuracy. This work, spotlighted for its innovative approach, is proudly funded by the Compagnia di San Paolo through the project AIxtreme.
Everyday we get in touch -and eventually we use- several services in an automatic and quite unaware way. Subscriptions and service contracts allow us to turn up the lights of our homes, to drink water from our tap, to listen to our playlists while going to work o to choose our movies at nights.
During the last decade, a large debate becoming wider and spreading out the close circles of experts and professionals, concerned the possibility to extend a similar approach to urban mobility and transport services, as well.