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NVIDIA and partners worldwide are expanding physical and agentic AI deployments for city services, from resident-service agents and vision agents to digital twins, using Cosmos, Nemotron, Omniverse, and Metropolis across Spain, the US, Poland, and Malaysia.
Elliott Round shares a link about producing more Sim Ready assets, likely related to simulation-grade 3D content.
欧洲多城市与 NVIDIA 合作，利用加速计算、Cosmos、Nemotron 和 Omniverse 构建物理 AI 智能体与数字孪生，用于城市管理、公共设施运维、交通与能源优化等场景。
At New York Climate Week, NVIDIA showcases five companies using AI technologies to advance clean energy projects, including optimizing power grids, improving nuclear plant operations, and creating off-grid power solutions for AI factories.
AI-generated actress Tilly Norwood faces technical glitches during press interviews, such as randomly speaking Chinese, highlighting issues in AI deployment for entertainment.
Napster has pivoted to an AI platform and partnered with Gems Education to develop AI agents and digital teacher clones for educational applications, aiming to augment learning through digital twins.
The study presents a digital twin framework using Mistral-7B to simulate opinion dynamics in social networks, validated against real Twitter datasets with over 50% improvement in prediction accuracy compared to classical baselines.
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.