Update about.liquid

Author: abhilash-neog

_layouts/about.liquid

@@ -113,7 +113,10 @@ layout: default_about
           The key motivation behind KGML is to improve the interpretability and generalization power of ML models, especially on out-of-sample distributions and even in the paucity of gold-standard data. 
           To gain more insight into our research, have a look at this talk given by Anuj Karpatne where he discusses how integrating physics with deep learning can enhance scientific problem-solving, highlighting the limitations of black box methods.
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