The PMDI project aims at radically improving the safety of urban mobility by extending STEP, an automotive data management and analytics platform, to support real-time and near-real-time use cases, particularly focusing on dangerous crossings at urban intersections. Such capabilities will be...
04b Atto di convegno in volume
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In recent decades, the industrial world has undergone a significant transformation through the inclusion of innovative technologies that enhance manufacturing processes. In this context, Machine Vision inspection systems play a key role in ensuring quality by identifying defects in production....
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In modern smart manufacturing environments, human involvement remains critical for addressing complex tasks that require adaptability and decision-making, despite the growing presence of automation and artificial intelligence. This paper introduces SAMBA - Service-Augmented Manufacturing-Based...
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The number of pretrained Large Language Models (LLMs) is increasing steadily, though the majority are designed predominantly for the English language. While state-of-the-art LLMs can handle other languages, due to language contamination or some degree of multilingual pretraining data, they are not...
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Spatio-Temporal predictive Learning is a self-supervised learning paradigm that enables models to identify spatial and temporal patterns by predicting future frames based on past frames. Traditional methods, which use recurrent neural networks to capture temporal patterns, have proven their...
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These past years the world had to deal with a whole new situation brought by Covid-19. Everyone’s routine changed and we started passing way more time than before on virtual meeting, virtual chats and similar. With this, many privacy problems arised from all the video data generated by a single...
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Fuzzing evolved into the most popular technique to detect bugs in software. Its combination with sanitizers has shown tremendous efficacy in uncovering memory safety errors, such as buffer overflows, that haunt C and C++ programmers. However, an important class of such issues, the so-called use-of-...
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In modern smart manufacturing environments, human involvement remains critical for addressing complex tasks that require adaptability and decision-making, despite the growing presence of automation and artificial intelligence. This paper introduces SAMBA - Service-Augmented Manufacturing-Based...
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The research proposes the application of Digital Intelligent Assistants (DIAs) as proactive agents that can support employees in dealing with cybersecurity issues in sustainable industrial processes underlying the importance of a fruitful Human-Artificial Intelligence collaboration. Cyber-attacks...
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The Enhanced Factory for Extra-terrestrial Space Technology Operations (EFESTO) project presents a strategic approach for establishing sustainable manufacturing and recycling operations in Low Earth Orbit (LEO), aiming to mitigate launcher constraints, support long-duration missions, increase space...