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SUMMARY:Subjective View on TDA within Life Sciences - Wojciech Chachólski
  (KTH - Royal Institute of Technology)
DTSTART:20250624T091000Z
DTEND:20250624T094500Z
UID:TALK230725@talks.cam.ac.uk
DESCRIPTION:The development of informative vector representations for text
 \, languages\,&nbsp\;protein interactions\, and other complex data has rev
 olutionized how we analyze\, organize\, and\nextract insights\, exemplifie
 d by advancements in large language models and generative AI. Similarly\, 
 creating effective vectorizations for geometry holds the promise of equall
 y transformative and far-reaching impacts. In my talk I will describe a ge
 ometrical vectorization framework based on homology called stable rank. I 
 will provide several illustrative examples of how to use stable ranks to f
 ind meaningful results in biological data.
LOCATION:External
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