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The paper presents DNative-Twin, a graph-native digital twin framework for recording and replaying agentic decisions to enhance reconstructability, with experiments showing improved recall but increased computation time.
Simile has commercialized digital twins from the Smallville paper, achieving high accuracy in simulating human behavior and a $2 billion valuation with investments from prominent AI researchers.
Caterpillar leverages decades of mining automation experience to advance broader AI deployment, including tools like the Cat AI Assistant and digital twins, while investing $100 million in workforce training for AI and autonomy.
Outset, a YC W23 startup, builds an AI customer research platform used by major companies, featuring AI interviewers and new simulation capabilities for feedback.
This paper introduces a structured approach to extracting persona information for LLM-based digital twins, showing that structured representations improve predictive accuracy over raw transcripts. An automatic pipeline is proposed to adapt structures to different tasks.
The tweet discusses simulation as a potential new scaling law in AI, highlighting insights from an interview with Simile AI's CEO on simulating human behavior for advanced AI research.
CalTwin introduces a Fisher-Information-based regularization to improve robustness to covariate shift and confidence misalignment in medical world models, achieving modest improvements on the PhysioNet 2019 Sepsis Challenge dataset.
This paper presents a methodology for creating high-fidelity synthetic customer agents (digital twins) grounded in real transactional and conversational data for large-scale validation of LLM-based chatbots in regulated domains like banking.
This paper introduces a rest-state framework that reconstructs articulated objects from a single closed configuration, using explicit meshes, vision-language outputs, and video diffusion models to generate and validate articulation hypotheses without observed motion.
Promotional announcement for the book 'Digital Twins in Action' by Greg Biegel, covering digital twin creation, IoT, AI, and knowledge graphs, available for pre-order on Amazon.
This paper presents FST.ai 2.5, an explainable and uncertainty-aware AI framework for Olympic and Para-Taekwondo that integrates athlete digital twins, competition analytics, and federation-scale decision support.
An overview of Chinese companies developing world models for embodied AI, highlighting different approaches from robotics-focused to visual generation, and a shift from model size to real-world deployment.
Timesynth introduces a controlled benchmarking framework for health-signal digital twins, including a physiological signal generator and diagnostics to evaluate temporal fidelity, revealing that pointwise metrics fail to capture phase and frequency distortions in forecasting models.
SimFoundry is a modular system that automates real-to-sim scene construction from video, generating digital twins and affordance-preserving variations for zero-shot robot policy training, achieving strong transfer to real-world tasks and high simulation-to-real performance prediction.
The 2026 World Cup will use advanced technologies including high-resolution cameras, ball sensors, and digital twins of players to assist referees in making more accurate calls, upgrading from previous systems.
Moonlake is partnering with Nvidia to bring its 3D Agent capabilities into NVIDIA Omniverse, enabling scalable creation of simulation-ready assets and digital twins for robotics, digital factories, and physical AI systems.
GM is leveraging AI and machine learning to collapse traditional engineering phases into a single probabilistic method, reducing simulation times from hours to minutes and accelerating vehicle development.
This paper proposes an active learning framework to couple high-fidelity Modelica simulations with simpler surrogate models (SINDyC, FNN, GRU) for creating efficient digital twins of thermal energy distribution systems. The approach significantly reduces the number of simulation trajectories needed while maintaining predictive accuracy and enabling uncertainty quantification.
NVIDIA and its partners are showcasing AI-driven manufacturing solutions, including sovereign AI infrastructure and digital twins, at Hannover Messe 2026.
NVIDIA GTC 2026 showcases major advances in physical AI with new frontier models (Cosmos 3, Isaac GR00T N1.7, Alpamayo 1.5) and infrastructure blueprints for scaling robots, vehicles, and factories. The event highlights how virtual worlds and digital twins are enabling enterprise-level physical AI deployments across industries.