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…
How might a hypothetical superintelligence represent a soul to itself?
We introduce a dynamic, mobility-informed framework that allows AI models to understand the temporal activity rhythms of places…
Microsoft's U.S. AI diffusion report finds the technology spreading into college towns, Sun Belt suburbs, and small businesses…
Renowned university professors and academic researchers keep joining frontier AI labs such as OpenAI and Anthropic. Remaining…
