
Explore mathematical foundations for scalable digital twins, focusing on probabilistic graphical models and physics-based reduced-order models in scientific and engineering applications.

Explore NVIDIA's innovative approach to video comprehension in generative AI, focusing on data curation and multimodal video foundation models using Ray Data and NVIDIA DGX Cloud.

Learn to create an Azure IoT Digital Twin solution for elevators using Raspberry Pi and reTerminal. Explore custom IoT Edge modules, 3D visualization, and practical implementation steps.

Esplorazione dei digital twins per prevenire e gestire i terremoti, rivoluzionando la comprensione sismica e la risposta alle catastrofi attraverso repliche virtuali di sistemi naturali.

Gêmeos digitais na medicina: prevenção precisa, diagnósticos precoces e tratamentos personalizados. Desafios e potencial para salvar vidas, inspirado na evolução tecnológica da aviação.

Explore data-driven methods for designing advanced material systems, integrating machine learning, optimization, and digital twins to accelerate innovation in heterogeneous nano- and microstructural materials.

Explore digital twins in engineering, geosciences, and medicine. Learn about high-performance computing's role in creating virtual replicas for predictive maintenance and personalized healthcare decisions.

Expert panel explores computational social science's role in policymaking, discussing micro data, agent-based models, empirical validation, and applications in fisheries, energy, and digital twins to enhance decision-making processes.

Explore innovative approaches to personalized cancer treatment using digital twins and quantitative systems pharmacology for improved patient outcomes.

Exploring AI applications in women's health, featuring talks on digital twins in pregnancy research and designing with menstrual cycle data. Aims to build community and advance the field.

Explore data-driven finite element exterior calculus for developing reduced-order models of multiphysics systems, combining machine learning with traditional finite element methods for robust surrogate modeling.

Explore digital twin technology's impact on education and training through expert presentations on management qualification, augmented reality, virtual learning, and industrial automation applications.

Explore real-time data assimilation for digital twins using particle filtering techniques, with interactive demonstrations and discussions on parallelization, future applications, and implementation challenges.

Explore how Booz Allen Hamilton uses Unity Reflect to create digital twins, enabling cross-functional collaboration, planning, and cost savings through 3D digital spaces and innovative approaches.

Explore Microsoft's vision for the Industrial Metaverse, distinguishing it from consumer applications and showcasing real-world business implementations through customer stories.

Explore how DFDS uses Kubernetes-based Digital Twins, Crossplane, and Backstage to manage logistics operations and accelerate software development in a decentralized, distributed environment.

Advancing digital twins: Experts explore foundational aspects, research challenges, and key applications, bridging data-driven and mechanistic modeling for engineering and scientific domains.

Advancing digital twins through expert talks on stochastic integration, neural surrogates, PDE-constrained optimization, inverse optimal transport, and Markov Chain Monte Carlo methods.

Advancing digital twins research: Experts explore Bayesian inference, irregular posteriors, and geophysical applications in this foundational workshop for data-driven engineering.

Explore digital twin technology for fleet modeling in this interactive workshop, connecting researchers with stakeholders to solve real-world problems.

Explore cutting-edge AI research with experts discussing digital twins for urban planning and robustness in deep learning, offering insights into real-world applications and challenges.