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of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
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of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
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range of computer vision tasks. Their strong representational capacity, however, comes at the price of significantly higher computational complexity and memory requirements. This poses a major challenge
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to candidates from a broad range of AI subfields, including, but not limited to machine learning, generative AI, computer vision, representation and reasoning, natural language processing
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. Advances in AI, especially NLP and machine learning, open new opportunities to automatically extract and structure security knowledge, and to provide intelligent, interactive support to practitioners
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Laboratoire National de Métrologie et d'Essais - LNE | Paris 15, le de France | France | 2 months ago
design’, Procedia CIRP, 100, 852–857 (2021) [8] Y. Qie, N. Anwer, ‘Invariance Class based Surface Reconstruction using CNN Transfer Learning’, Computer-Aided Design & Applications, 20(6), 1204-1220 (2023
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secure energy transmission and electrical power quality. Addressing these fields requires a forward-looking vision where digital technologies and dependable grids are integrated. The application of machine