Extending AI architectures to address continuous scientific problems

Caltech's Anima Anandkumar says most AI models lack the ability to understand the physical world, a crucial ingredient for scientific discovery. Weather prediction, for example, requires AI to grasp chaotic physical systems like atmospheric changes over time and across the planet.