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Automating Assurance Case generation could drastically reduce the resource burden on SMEs striving for compliance with the EU Cyber Resilience Act.
LLM-generated assurance cases exhibit demonstrably different hierarchical linking patterns compared to human-authored cases, raising concerns about their reliability in safety-critical domains.
Explainable AI could be the key to unlocking transparency and better decision-making in ship fuel optimization, but data quality and real-time optimization remain significant hurdles.
By rediscovering known physics like cubic speed-power relationships, PI-KAN shows that hybrid models can achieve both accuracy and interpretability in vessel performance prediction, outperforming black-box neural nets.
