Simulation and Prediction - Exploring the Digital Twin Technology Stack

Explore the digital twin technology stack in this 33-minute conference talk from the Toronto Machine Learning Series (TMLS). Dive into the components of digital twin technology, including federated machine learning models, geospatial intelligence, and ontological constraints based on knowledge graphs. Learn how this advanced technology stack is deployed to tackle complex prediction challenges in agriculture and climate change management. Gain insights from Arthur Berrill, CTO of Data and Analytics at RBC, as he explains the integration of neural symbolic AI and ontological learning within the digital twin framework. Discover how this innovative approach enables more accurate simulations and predictions in real-world applications.