Three predictions:
- Riemannian Geometry and Topology starts to get used more in ML from 2026.
- Goverments adopt Machine Learning systems for their citizens's assistance.
- Mathematicial formalization gets tighter due to the gorwing needs in ML.
I'm sharing this: https://t.co/fAdkutI2in
Some notes by Emil Saucan. The existence of such triangulations in C^1 manifolds could turn out to be useful in machine learning.
More to come maybe in a blog post?