Many applications nowadays generate significant amounts of data that can be exploited through data mining techniques to develop added-value services. Data represent an important asset for the extraction of new knowledge useful for the improvement of systems design and operation as well as existing practices and services.
However, in many cases challenges are faced due to the fact that data sources are often multiple and need to be combined with domain knowledge to extract useful information from data.
SATE services combine robust domain-knowledge, systems engineering and Artificial Intelligence knowledge with an application oriented approach and with the capability of deploying solutions both in-field/on-board and in cloud environments to meet users/applications needs.
AIDA is an AI-based software solution developed under an ESA project with the purpose to accelerate the diagnostic activity performed by domain experts throughout the whole development and test phases of an antenna system.
CLUE is a software developed under an ESA project to extract new knowledge and patterns from clinical laboratory data with the purpose to enable enhanced astronauts’ autonomous medical diagnosis during missions.
Earth Observation and GNSS data fusion to improve navigation risk assessment
This activity carried out under ESA projects aims at exploiting big data methods to extract recommended routes from historical GNSS data and combine them with EO data to improve navigation risks in view of autonomous shipping scenarios.
This project carried out for the Italian Space Agency aims at the development of an AI-based onboard novelty detection for rover planetary exploration, with the purpose to allow the automatic identification of relevant scenes of scientific interest during the mission.