Digital Twin Consortium

Architects and designers deliver design intent and are not contractually responsible for actual building performance. How can digital twins increase the accountability of architects, engineers, designers, and everyone downstream (commissioning agents or system integrators) for the actual building performance?... Read more →

Standard forecasting and planning tools enable manufacturers to make predictions and generate action plans based on knowledge of their demand at a point in time. These plans often represent ideal cases, and their robustness needs assessment and, even better, maximization. This article explains how, thanks to real-time monitoring and simulation experiments, Digital Twins can help organizations build robust plans and implement resilient strategies in the face of high demand volatility.... Read more →

A new perspective hypothesis termed “Stellar Transformer” proposes “electromagnetic” energy between celestial objects be considered much like the induction transformer process that steps down household energy from the power company. The Predictive Earth Digital Twin can provide a continuously learning system that uses AI and machine learning algorithms to capture and predict changes in state and configuration of larger solar systems affecting the earth-sun induction processes of the Stellar Transformer... Read more →