The world modelling newswire

Physics-Based Blood Pressure Digital Twin Fails Rigorous Stress Test

Market Forecast for Data Center Digital Twin O&M Systems

MIRAGE: A GPU-Accelerated IQ-Level Channel Emulator for Real-Time Wireless Digital Twins

Wireless digital twins enable network policies to be evaluated before deployment, but reproducing channel effects within a running protocol stack requires continuous waveform processing under strict timing constraints.

От языка к действию: как устроены агентные ИИ‑системы

LLM умеет рассуждать и генерировать ответы, но что делать, если системе нужно самостоятельно выполнять задачи, взаимодействовать с внешними сервисами и проверять результаты своих действий? Здесь начинается территория ИИ‑агентов, где появляются новые архитектурные решения и сложности.

Schneider Electric and partners test AI factory digital twin in Sines

Schneider Electric and partners test AI factory digital twin in Sines Data Centre Solutions

AVEVA to Present Industrial AI and Digital Twins at ADIPEC 2026

Phase-Coordinated Model Predictive Control for AI Training Power Smoothing

arXiv:2610.36441v1 Announce Type: new Abstract: Periodic power fluctuations from artificial intelligence (AI) training workloads can excite oscillations in power systems. This paper proposes a model predictive control (MPC) framework that exploits short start-time delays to mitigate power…

A model predictive control framework with robust stability guarantees under unbounded disturbances

arXiv:2207.10216v4 Announce Type: replace-cross Abstract: To address feasibility issues in model predictive control (MPC), most implementations relax state constraints by using slack variables and adding a penalty to the cost.

AI-Driven Digital Twin Framework for Warehouse Logistics Automation Optimization

In recent years, warehouse logistics optimization has increasingly focused on intelligent, data-driven systems to enhance operational efficiency. Conventional static product placement strategies are being progressively replaced by dynamic slotting approaches that can adapt to real-time variations…

Schneider Electric pilots an AI data center digital twin in Portugal

Schneider Electric is piloting a digital twin of a data center in Portugal. Details on data, scale and results are not disclosed in the text.

Digital Twin-Guided Wireless Localization via Probabilistic Inverse Learning

This work investigates how site-specific digital twins (DTs) can support wireless localization using simplified distributed infrastructure. We propose PRISM (Probabilistic Refinement using Inverse learning and a Site-specific Model), a DT-guided probabilistic localization scheme with single-antenna…

An Incremental Knowledge-Graph Learner Digital Twin for Evidence-Grounded Early Warning

Early-warning models in learning analytics can identify learners at risk of failure or withdrawal, but the resulting alerts are often only weakly connected to inspectable learning evidence.

LLM-Augmented Agent-Based Simulation of Cyber Social Agents

arXiv:2610.32988v1 Announce Type: new Abstract: Social media bots are often portrayed as malicious automations to be detected and removed, but automation on social media platforms encompasses a wide spectrum of roles, behaviors, and rhetorical strategies that can shape online discourse in both…

Bayesian inference for agent-based models with 90% fewer simulations

The DF-NPE method combines learned time-series summaries with two conditional normalizing flows for synthetic-data generation and posterior estimation. It supplements direct simulations with synthetic training pairs and supports pooled and ordered training strategies. In two settings of the Brock-Hommes asset-pricing model it cuts direct simulations by 90% while achieving lower posterior discrepancy and runtime.

Adapting neural posterior estimators for agent-based model inference

Agent-based models in economics and social sciences represent heterogeneous behavior and interactions through simulations, while their likelihood is often intractable for parameter estimation. The work examines likelihood-free neural inference, notably neural posterior estimation with normalizing flows providing amortized Bayesian inference. It notes that a pre-trained estimator may become inaccurate when the target task changes and discusses adapting such estimators.

Adaptive Calibration of RF Digital Twins via Budget-Constrained Radio Measurement Selection

Radio-frequency (RF) digital twins (DTs) enable site-specific wireless propagation prediction by explicitly reconstructing the physical environment and modeling electromagnetic interactions.

Distributed Predictive Flocking for a Swarm of Miniature Vibration-Driven Robots in a Confined Arena

Coordinating many miniature robots in a confined arena, with no leader, central planner, or global map, is a core challenge for swarm robotics. As the swarm grows denser, collision avoidance becomes the limiting factor, and the number of safely coexisting robots depends on the formulation of the…

Model-Free Generative Stealthy Attacks on Safety-Critical Vehicle Cyber-Physical Systems

arXiv:2610.31864v1 Announce Type: new Abstract: Existing stealthy attacks presuppose white- or grey-box access to the target system, unrealistic in practice. This paper develops a model-free stealthy attack framework that learns an attack policy directly from nominal measurement data, without…

Digital twin of quantum repeater memory accounts for model uncertainty

EAST: safety testing of embodied AI via fault injection in digital twins

Agentic digital twin improves predictive cellular handover

DT-STABLE: digital twin framework for NTN-TN coexistence

Large Language Models Meet Bayesian Optimization: Towards Self-evolving Wireless Digital Twins

Wireless digital twins (DTs) are increasingly integrated with artificial intelligence to support online modeling, prediction, and network optimization. However, most existing approaches perform adaptation within predefined learning or optimization structures, which may become unsuitable when…

Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin

Schneider Electric, AVEVA, Nscale and Start Campus pilot AI digital twin Engineering.com