R Consortium-funded: {inphr} brings statistical inference to persistence diagrams in R (permutation tests + diagram distances; plus curve-based summaries via {TDAvec} to localize differences).

r-consortium.org/posts/statis...

#rstats #TopologicalDataAnalysis #PersistentHomology #OpenSource

Topological Thresholding Method Boosts Network Structure Analysis

The topological thresholding algorithm uses persistent homology to filter networks; on a concept‑co‑occurrence graph it kept research clusters while dropping weak links. getnews.me/topological-thresholding... #topologicalthresholding #persistenthomology

Torsion in Persistent Homology: Challenges for Neural Networks

Researchers found that autoencoders commonly collapse torsion cycles to trivial ones, and the manuscript’s latest version was posted on 19 September 2025. Read more: getnews.me/torsion-in-persistent-ho... #persistenthomology #torsion #deeplearning

Persistent Homology Boosts Cosmology Parameter Estimates with AI

Researchers used persistent homology with AI to infer cosmological parameters, achieving more accurate estimates than power‑spectrum and bispectrum, especially for f_NL^loc. Sep 2025. getnews.me/persistent-homology-boos... #persistenthomology #cosmology

🚀 Just released: flooder – a fast, GPU-powered Python package for computing persistent homology on millions of points in Euclidean space. Topology at scale is here!

📦 pip install flooder
🔬 Preprint coming soon – stay tuned!

#PersistentHomology #TDA #Python #MachineLearning

Just out on arXiv this morning, my latest preprint, 'Persistence diagrams as morphological signatures of cells: A method to measure and compare cells within a population', with Florian Rehfeldt and Patrice Koehl. #PersistentHomology #PersistenceDiagrams #TDA arxiv.org/abs/2310.20644