The AI, Data & Space division carries out a wide spectrum of research and innovation activities, focusing on pervasive and frontier issues involving the design and prototyping of applications based on artificial intelligence and space systems. These are developed by leveraging the vast and growing availability of data, using hardware and software technologies that allow the collection and processing of Big Data.
Applied research activities, aimed at supporting innovation and the digitization of products and services for the business world, are developed in various areas of great impact, such as safety, environmental sustainability and climate change, energy and industry, agri-food, health and well-being, and social inclusion.
Space systems research topics are mainly oriented to the processing of data and signals from the European Galileo and Copernicus systems, and promoting their use in a wide range of application scenarios integrated with terrestrial data and systems.
The smart solutions conceived by the division are designed to manage the entire data value chain, from collection systems to the processing and merging of heterogeneous data (e.g. numerical series, texts, photos, and videos) from various sources (e.g. satellites, IoT networks, wearable devices, the web and personal devices), up to data enhancement through the development of smart software agents based on artificial intelligence techniques, such as machine-learning and deep-learning. All the solutions are designed with a methodology that puts humans at the centre of the processes, offering an effective representation of information and a high usability of the solutions.
The research division also incorporates the Satellite Navigation Laboratory (NavSAS Lab).