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This paper investigates whether everyday speech from older adults can be used as a personalized cognitive monitoring tool, finding that AI models can detect subtle language patterns indicative of cognitive decline, unlike standard GPT responses.
This paper proposes a reinforcement learning-driven adaptive sim-to-real alignment method for vibration-based bearing health monitoring, addressing data scarcity and heterogeneous fault-type gaps via proximal policy optimization.
This paper introduces DigiTurbine, a synthetic reliability-aware Physics-Informed Neural Network (PINN) benchmark for offshore wind turbine monopile support-structure monitoring, combining forward and inverse PINN with Bayesian prior-informed identification and FORM-based reliability screening.
Eco Wave Power uses NVIDIA AI infrastructure and digital twins to convert ocean wave energy into clean electricity, leveraging existing marine infrastructure to address growing AI energy demands.
gwern proposed the 'Guardian Angel' approach, advocating for training an LLM digital twin that imitates the user themselves, in order to solve the principal-agent problem and security risks of general AI assistants, and provided a complete roadmap from alignment theory to technical implementation.
This paper presents an online adaptive clinical decision support AI system that integrates treatment effect estimation, digital twin simulation, and reinforcement learning to recommend treatments in a safe, clinician-supervised manner, validated on a synthetic simulator and the TCGA ovarian cancer dataset.
TwinBI is a framework that couples an LLM-based agent with an executable BI dashboard state to maintain consistency during multi-step analytical interactions, improving accuracy and reducing timeout rates in benchmarks.
EgoPhys introduces a framework to construct deformable physical digital twins from egocentric RGB video using generalizable priors and a compact codebook, enabling zero-shot generalization to unseen objects without per-spring optimization. The system is demonstrated on a real robot, showing that egocentric human play video can serve as internal world representation for deformable-object planning.
SK hynix and NVIDIA have signed a multi-year cooperation agreement covering joint design and manufacturing planning of advanced DRAM, as well as AI infrastructure (supercomputers, AI PCs, Jetson) and digital twin factory technology, marking that the AI infrastructure competition has reached the memory level.
This paper presents CatDT, a self-evolving multi-agent digital twin that autonomously predicts heterogeneous catalyst properties from bulk crystal and reaction description, achieving experimental accuracy across seven benchmarks and discovering non-precious catalyst candidates for propane dehydrogenation.
NVIDIA and LG Group are collaborating to build an AI factory to accelerate physical AI, robotics, autonomous driving, and AI infrastructure, integrating NVIDIA's full-stack AI platform with LG's expertise in consumer electronics and manufacturing.
Pantheon360 introduces a 3D-aware 360° video diffusion framework that uses an explicit 3D cache to enforce geometric consistency, enabling high-fidelity digital twin generation from sparse 360° inputs.
Introduces two open-source tools on GitHub: map3d, which automatically generates 3D city models from OpenStreetMap and exports GLB files; and Voice-Pro, a local tool integrating video download, voice separation, subtitle recognition, translation, voice cloning dubbing, and video synthesis.
The article argues that autonomous agents lacking cryptographic identity are liabilities in multi-agent economies, and presents avatar.inc's blockchain-based trust protocol as a solution for verifiable agent identity and secure inter-agent interactions.
This paper presents a multi-pedestrian safety warning system at urban intersections using a digital twin framework, integrating camera, UWB, edge-cloud computing, and predictive trajectory modeling for real-time alerts. Results show high accuracy and reduced response times.
WorldString is a neural architecture that models object state manifolds from point clouds or RGB-D video streams, serving as a foundational component for physical world models with differentiable structure for policy learning integration.
The paper presents a hybrid Discrete Event Simulation and Agent-Based Model framework for emergency departments, validated against real-world data, and integrates a multi-agent system for autonomous resource allocation optimization.
The article introduces Dolly, a new AI product that creates personalized digital twins of employees to automatically handle messages and tasks in their unique voice.
The article introduces a method using mobile phone scanning and 3D Gaussian Splatting technology to generate realistic 3D models of properties. These models can be viewed in a web browser without VR headsets or apps, significantly reducing costs for property viewing and modeling. It also highlights relevant open-source projects and business opportunities.
This research introduces the Housing Potential Common Data Model (HPCDM) to integrate diverse datasets for housing analysis and demonstrates its application through a City Digital Twin pilot.