Digital twinВ Северной Осетии внедряют цифровой двойник Владикавказа и умные камерыTechora.ru · 19hModellingАгентный поиск на open-source моделях: кого нашёл, сколько потратил и где всё сломалосьХабр · 22hDigital twinDigital Twin for Pre-Deployment Validation of AI-Driven Safety-Critical Industrial Edge Control LoopsarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinLeveraging Human-In-The-Loop Demonstrations in Reinforcement Learning for Digital Twin-Driven Robot FlexibilityarXiv API — полнотекстовый поиск "digital twin" · 3dDigital twinLIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In HomesarXiv API — полнотекстовый поиск "digital twin" · 3dModelling«Рамблер» запустил единого ИИ-помощника с полноценной мультиагентной системой «под капотом»CNews · 4dModellingA dynamic pore-network model with discrete microbubble transportarXiv — Computational Engineering, Finance, and Science (cs.CE) · 4dModellingFREIDA: A Framework for developing quantitative agent based models based on qualitative expert knowledgearXiv — Multiagent Systems (cs.MA) · 4dModellingCooperation, Defection, and the Commons: Reproducing an Agent-Based Model of Aksum with Three Logistic EquationsarXiv — Physics and Society (physics.soc-ph) · 4dDigital twinRuleless digital twins: declarative decision-making via standardized frameworksarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinPredictive cognitive digital twin framework for autonomous 6G networksarXiv API — полнотекстовый поиск "digital twin" · 5dDigital twinAdjoint-based calibration and optimal control of stochastic bioprocess twinsarXiv API — полнотекстовый поиск "digital twin" · 5d
Digital twin for detecting cyber-attacks via temporal anomalies
US & West ·
A method for detecting cyber-physical attacks using digital twins is proposed, based on monitoring temporal inconsistencies between the model and the real system. A predictor trained on normal behavior identifies anomalies via multi-horizon temporal features of prediction residuals.
Why it matters
The news is relevant to modeling agenda as it shows how digital twins can be used to ensure security and integrity of large-scale systems.
В Северной Осетии активно внедряют умные технологии для контроля дорожной сети. Камеры фиксируют нарушения, на трассах работают пункты весогабаритного контроля, а во Владикавказе создаётся цифровой двойник города. Пассажиры смогут отслеживать движение трамваев в приложении.
Industrial environments are increasingly characterized by the tight interaction among physical processes, communication infrastructures, and intelligent applications. In this context, Digital Twins (DTs) have emerged as a key technology for system analysis and optimization.
Growing automation makes collaborative robots work in more variable environments, increasing the need for adaptation. We propose a human-in-the-loop online training framework combining a digital twin (DT), reinforcement learning (RL), and human demonstrations.
