_edi.jpg)
​We are reviving the niche areas of pure Mathematics
to address modern society's demands
We are a group of mathematics PhD researchers working to
revive niche areas of pure math by connecting them to real-
world needs.
Many powerful ideas developed in traditional math journals
remain isolated from modern science and technology.​ Our
goal is to identify meaningful points of contact, where
rigorous math theory can inform contemporary problems,
and bring these ideas back into motion.
​
We bridge the gap between pure mathematicians and practitioners such as engineers and product managers, translating abstract theory into languages that can be implemented, tested, and scaled.
ABOUT
Through Equivariant Degree Theory, a branch of nonlinear analysis, this project studies the mathematical mechanisms underlying AI optimization. At a time when AI progress is often driven by brute-force scaling, we believe the future lies in understanding the mathematical mechanisms behind training. Equivariant degree offers a rigorous way to uncover the topological structure of loss landscapes and to prune redundant search paths in stochastic gradient descent.
Paper Series:
2. Existence of solutions and their symmetries of spurious minima (To be continued)