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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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on developing new methods, models, architectures, and tools for monitoring, forecasting, and managing distributed energy resources powered by renewable sources, building on the results achieved within Spoke 5
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when manipulated content is used to incite hostility toward marginalized groups. While large language models (LLMs) offer potential for fact-checking and counterspeech, current systems often struggle
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to classify landslide types primarily using geological and geomorphological data The Research Assignment is aimed at developing Artificial Intelligence (AI) models, mainly CNN and ViT, for the automatic
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, design, and validation of data-driven models for managing Demand Responsive Transport systems. The approach will be geared toward developing flexible, scalable, and interoperable solutions that can be
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. For more information about the RNA Technologies Flagship, visit: https://rna.iit.it/ The project aims to develop a new generation of artificial intelligence models to systematically investigate the role
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assurance, data science, data-driven modelling, digital manufacturing workflows, and Digital Product Passport B.3 Hands-on experience in machine learning, ontologies and knowledge graphs, IIoT and digital
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community. You may develop projects in fields including • Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science. • Imaging and