Market & productsPalantir объявила о новых альянсах с NVIDIA и Fujitsu для ИИ и кибербезопасностиTechora.ru · 4hDigital twinModel-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive ControlarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinForceTwin: Physics-informed Digital Twins for Robotic Manipulation from Instrumented Human InteractionarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinОпубликованы итоги форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития»spbIT · 3dMarket & productsДмитриев оценил новый имидж главы PalantirТАСС · 3dMarket & productsPalantir и Rocket Lab: +30 и +34 позиции в рейтинге Roundtable 100Techora.ru · 3dMarket & productsChipotle наняла связанную с ЦРУ Palantir для оценки рисковTechora.ru · 3dModelling«Группа Астра» вывела на рынок AMAIA — агентный ИИ-слой платформы «Астра Мониторинг»CNews · 3dModellingModelling sexual partnership dynamics and population heterogeneities in agent-based dynamic network modelsarXiv — Physics and Society (physics.soc-ph) · 4dForecastingComposite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive ControlarXiv — Systems and Control (eess.SY) · 4dForecastingModel Predictive Control with Multiple Constraint HorizonsarXiv — Systems and Control (eess.SY) · 4dDigital twinToward Composable Network Digital Twins: A Subgraph-Based Latency Prediction StudyarXiv API — полнотекстовый поиск "digital twin" · 4d
Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study
US & West ·
Modern networks must support changing topologies, configurations, and performance objectives, motivating fast and reliable performance estimation. Network digital twins (NDTs) enable what-if analysis for performance estimation in such network scenarios, however, existing machine learning-based NDT…
Original headline
Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study
Residential heating accounts for a large share of building energy use, and predictive control strategies can reduce it by anticipating rather than reacting to the room temperature alone.
Manipulating objects requires understanding not only their motion, but also the physical properties that determine it. For articulated objects, these include inertia, friction, and mechanisms such as springs or door closers, whose effects can vary with configuration and velocity.
Компания «Актив» завершила работу над итоговым документом по результатам форсайт-сессии «Будущее безопасности киберфизических систем в России. Перспективы и векторы развития», которая прошла в Москве в марте 2025 года.