by Lorenzo Pallante (Politecnico di Torino), Athanasios Kalogeras (Athena Research Center, Industrial Systems Institute), Marco Agostino Deriu (Politecnico di Torino)

The EU-funded VIRTUOUS project is dedicated to the development of an integrated computational platform working as a virtual tongue able to predict the taste and the organoleptic profile of Mediterranean ingredients. VIRTUOUS integrates mechanistic modelling approaches, machine learning classifiers, algorithms for big data, and cloud computing, all fed by experimental data to predict food taste, knowing its chemical composition.

by Andreas Holzinger, Karl Stampfer, Arne Nothdurft, Christoph Gollob (University of Natural Resources and Life Sciences Vienna) and Peter Kieseberg (University of Applied Sciences, St.Poelten)

New challenges, especially due to climate change, warrant rethinking classical forestry in many ways, ranging from neophytes and overspread of pests to drought and fires, previously rare in many places like middle Europe. Digital transformation in future smart agriculture and forestry requires a human-centred artificial intelligence (HCAI) approach, incorporating sociological, ethical and legal issues. Human intelligence should be augmented – not replaced – by artificial intelligence, like "power steering for the brain".

by Emanuela Tangari and Carmela Occhipinti (CyberEthics Lab.)

The use of Artificial Intelligence can be a vital resource for the development of precision medicine. Nonetheless, it is crucial to conduct a gender analysis of this technology for increasing its inclusiveness and democratic nature.

by Alessia Amelio, Roberto Boccagna, Maurizio Bottini (University of Chieti-Pescara “G. D’Annunzio”) and  Massimo Petracca (ASDEA srl)

We present a comprehensive strategy for assessing structural health conditions that we believe could become the standard procedure. The proposed solution covers the entire structural health monitoring (SHM) process, from data recording to damage management. The key innovation of our approach is through the elaboration of a logical workflow reinforced by the use of integrated high-performance devices and hardware/software components designed by ASDEA srl specifically for use in this context.

by Alessio Bechini (University of Pisa, Italy), Giulio Masetti (ISTI-CNR, Italy), Giorgio O. Spagnolo (ISTI-CNR, Italy), and Carlo Vallati (University of Pisa, Italy)

SmaRIERS (Smart Railway Infrastructures: Efficiency, Reliability and Safety) is a technology transfer project financed by the Tuscany Region. The project partners include ECM s.p.a. (Progress Rail of the multinational Caterpillar Inc. group), a Pistoia-based company and leader in the railway sector that develops solutions and technologies for the safety and control of railway infrastructure, and the Formal Methods and Tools (FMT) and Software Engineering and Dependable Computing (SEDC) research labs of ISTI-CNR. The project is conducted in strong collaboration with the Department of Information Engineering of the University of Pisa.