Virtual Replicas | Digital Twins

This collection explores the concept of virtual replicas that enhance operational efficiency and decision-making across multiple industries, including manufacturing, healthcare, agriculture, and entertainment. Insights include applications in predictive maintenance, safety management, and immersive educational tools. The integration of advanced technologies like AI, IoT, and big data enhances the capabilities and adoption of these technologies, addressing associated challenges such as data privacy and implementation costs.

Why Smart Device Platforms Break After Deployment
How Digital Twins Drive Smart Product Development and Processes
The Convergence of Supply Chain Management and Artificial Intelligence: Challenges and Opportunities
How Digital Twins Are Driving Cost Efficiency in Oil & Gas Operations
The Next10 Exponential Innovation 2026 TH
AI Star Keynote on Artificial Intelligence. OnWorld. OffWorld. InWorld
Creating ROI on a Sustainable Built Environment
 
Simulated Environments in Artificial Intelligence.pdf
Unlocking the Power of Digital Twins for Streaming Analytics and Simulation of Large Systems
Building Digital Twins for Real-Time Analytics and Simulation with Many Data Sources
Building a Distributed Cache - Lessons in Scaling and Ease of Use
The Power of In-Memory Computing: From Supercomputing to Stream Processing
Integrating Real-Time Stream Processing and Data-Parallel Analytics Using Digital Twins - In-Memory Computing Summit 2020
ISEF 2025-CIMNE_2025.09.24_J. Mora, Touching the Invisible. Learning Electromagnetism in Virtual Worlds (2025).pdf
The Drone Dividend: Practical Applications for Commercial Buildings
Modelling Groups of Humans: Towards Crowd Digital Twins
How Digital Twins Drive Cost Efficiency in Supply Chain Management
The Rise of Digital Twin Technology in the Modern World.pptx
Digital Twins Software Service in Belfast
Digital Twins: The Future of Sustainable F&B Manufacturing