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sectors for applications of artificial intelligence (AI). Precision agriculture (also named cognitive or digital) is based on “big data”, often collected via drones or satellites, to supply adequate
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process data locally while ensuring efficient and scalable artificial intelligence at the edge. TinyML and Edge AI have demonstrated the feasibility of embedding machine learning models on such devices
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of the University of Udine in the academic Year 2026/2027, 42th cycle: - Computer Science and Artificial Intelligence; - Molecular Medicine; - Food Science; - Environmental and Energy Engineering
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of artificial intelligence across public administrations and enterprises. Its impact, however, will depend on how legal obligations are translated into organizational processes, procurement strategies, and
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sensing and AI processing. The focus lies in architecting a unified system capable of real-time image intelligence, overcoming the critical hardware bottlenecks of limited memory and power to enable
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, Physics, Electrical Engineering, Communication Engineering, or equivalents; – Knowledge in artificial intelligence, statistical and machine learning, complex systems, agent-based modeling and simulation
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a strong background in artificial intelligence and 3D computer vision, with solid programming skills and an interest in 3D data processing (e.g. point clouds and neural scene representations), along
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). Desirable assets are: • Machine learning, deep-learning, artificial intelligence, advanced statistical inference; • A solid record of research activities, including relevant publications in international peer
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fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly
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. The research will combine state-of-the-art computational materials science, artificial intelligence, and multiscale modelling to investigate how cosmic rays, solar particles, and radiation environments affect