Einstein Yang Mill Connections, Calabi Yau, Machine Learning, Space of Connections

Hi,

I am back with a new post. A lot of readers might remember my old article (2013) on 

1. Yang Mills & Twitter Cortex, 

2. Ricci Flow & Twitter 

3. and my blog on Yang Mills, Ricci Flow, Quantum Groups etc.   

Here are few papers & books which got published after that article - 

1. Machine learning line bundle connections - https://openaccess.city.ac.uk/id/eprint/27860/1/1-s2.0-S037026932200106X-main.pdf 

2. Tensor network approach to two-dimensional Yang–Mills theories - https://academic.oup.com/ptep/article/2021/12/123B03/6415218 

3. The Calabi–Yau Landscape: From Geometry, to Physics, to Machine Learning - https://books.google.co.in/books?hl=en&lr=&id=rxI7EAAAQBAJ&oi=fnd&pg=PR7&ots=mZZ3378c8r&sig=mhKICovJaoULSZW81LdE3lp1jLY&redir_esc=y#v=onepage&q&f=false 

4. Emergent Attention on Yang-Mills Space of Connections - https://lukepereira.github.io/notebooks/documents/2021-moduli-attention/main.pdf 

5. Over-squashing, Bottlenecks, and Graph Ricci curvature - https://blog.twitter.com/engineering/en_us/topics/insights/2022/over-squashing--bottlenecks--and-graph-ricci-curvature