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The article argues that industrial AI often operates without sufficient context, reducing its effectiveness. Solutions for integrating contextual information into models are proposed.
Why it matters
The context problem directly affects the quality of predictive models and digital twins in industry.
Военкор Александр Коц сообщил, что боевой искусственный интеллект Palantir, используемый ВСУ для наведения беспилотников, мог получить доступ к данным о привычках каждого россиянина.
arXiv:2609.09380v1 Announce Type: cross Abstract: Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control. In particular, although recent cached model predictive control (MPC) solvers can handle the fast system dynamics and…
Digital twin simulation models are evolved and redeployed like software, yet DEVS-based engines offer a sound formal basis with little support for versioning, automated validation, or continuous delivery in cloud-native environments, leaving model lifecycle management ad hoc in most deployments.
