Training a neural network to collate data from several sources provides a high-resolution view of how people are moving around the world.
10 June 2026
Training a neural network to collate data from several sources provides a high-resolution view of how people are moving around the world.
By
Francisco Lara-García0 &
Van C. Tran1
A global annual migration-flow dataset (1990–2024) is produced using deep-learning models and diverse sources to estimate…
Modelling with artificial-intelligence tools has filled gaps in migration data, revealing detailed global population movements…
As Canada advances its national AI strategy, we must ask what digital migration data reveal, and what they leave unseen.
How might a hypothetical superintelligence represent a soul to itself?
Microsoft's U.S. AI diffusion report finds the technology spreading into college towns, Sun Belt suburbs, and small businesses…
The challenge is not just to build better AI tools, but to ask harder questions about where they are taking us.
