
TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.
The TRUST-AI project aims at bridging the gap between the analytical expressions derived from theory and the numerical models obtained with Machine Learning. A novel paradigm will be developed, whereby humans and machines can collaborate and discover new solutions.
Predicting the right treatment moment for patients with slow-growing tumors that only require specific treatment at some point in time (undergoing a wait-and-scan policy).
Dynamically selecting delivery time slots and corresponding pricing for last mile delivery, trading-off customer satisfaction and operational efficiency.
Predicting daily, hourly and minute energy consumption by managing multiple, real time and distributed data sources.
TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.
Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing MSGP algorithm, organized by Marc Schoenauer and Alessandro Leite, from INRIA, France, our TRUST-AI partner.
Interested in Genetic Programming and Explainable AI? Check the webinar on the top performing GP-GOMEA algorithm, organized by Peter Bosnan, CWI, Netherlands, our TRUST-AI partner.
TRUST-AI is a Horizon project delivering methods and technology in the broad area of interpretability and human-driven AI. The areas where our approaches are being tested include Health, Retailing, and Energy.