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against falling from heights in working environments. This includes modeling, simulation and design of passive self-locking mechanisms and joints, FEM analysis on mechanical components, CFD analysis of flow
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predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
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or not. In this context, the fast development of always novel generative models (from GANs to Flow Matching) will open other possibilities in the study of physical sciences’ applications. Finally, the data
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), the Trieste Observatory and INFN. HECAP members are currently working on: String theory including D-branes, Black Holes, Gauge/string theory duality, Phenomenological String theory/M-theory; Particle
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coherent framework between hardware, theoretical models, and application protocols, facilitating the validation and benchmarking of quantum protocols. Thanks to the collaboration between universities