Digital twinSchneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twinEngineering.com · 2dDigital twinLarge Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 2dModellingJaxMARL-BC: Multi-Agent Reinforcement Learning for Macroeconomic Modelling, in SecondsarXiv — General Economics (econ.GN) · 2dDigital twinDigital Twins of Networked Dynamical Systems: Machine Learning Prediction of Synchronization Transitions in Coupled Chaotic OscillatorsarXiv API — полнотекстовый поиск "digital twin" · 2dDigital twinEvaluating Type-1 Diabetes Digital Twins by Decision QualityarXiv API — полнотекстовый поиск "digital twin" · 2dForecastingCertified Neural Approximation of Robust Nonlinear Model Predictive ControlarXiv — Systems and Control (eess.SY) · 2dForecastingIntegrating Flow Matching and Model Predictive Control for Safe Robot NavigationarXiv — Systems and Control (eess.SY) · 2dForecastingRegion of Attraction Estimation for Linear Quadratic Regulator, Linear and Robust Model Predictive Control on a Two-Wheeled Inverted PendulumarXiv — Systems and Control (eess.SY) · 2dDigital twinVivix Executable Digital Twin for Float GlassSnowflake · 3dDigital twinMicrostructural Generative Inverse Models for Additive Manufacturing Digital TwinsarXiv API — полнотекстовый поиск "digital twin" · 3dModellingCorporate AI in Russia: the bet on agent platformsTAdviser (Telegram) · 3dModellingCorporate AI in Russia: market growth amid unfinished pilotsTAdviser · 3d
Corporate AI in Russia: the bet on agent platforms
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The same TAdviser item: the generative AI market reached 58 billion rubles in 2025, with 44 billion corporate. Measurable results are becoming the key criterion, while most projects remain pilots due to integration, data quality, security and cost issues.
Why it matters
Captures the shift from experimentation to operation, where data and integration become decisive.
arXiv:2610.28907v1 Announce Type: cross Abstract: Multi-agent reinforcement learning (MARL) offers a principled way of populating simulated economies with many heterogeneous decision makers.
Russia's generative AI market reached 58 billion rubles in 2025, with 44 billion in the corporate segment. Spending growth has not translated into comparable results: many projects remain pilots, and moving to operation depends on integration, data quality, security and processing cost.
Using a synthetic population of one million agents in an urban setting, the study compares five mobility models differing in activity patterns and destination choice. It shows how mobility simplifications affect emergent contact networks and epidemic outcomes.
