Fix gif PDF build issue

harvard-edge · Nov 15, 2024 · 27f20df · 27f20df
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diff --git a/contents/core/introduction/images/png/alphafold.png b/contents/core/introduction/images/png/alphafold.png
diff --git a/contents/core/introduction/introduction.qmd b/contents/core/introduction/introduction.qmd
@@ -307,7 +307,13 @@ FarmBeats shows how ML systems can be deployed in resource-constrained, real-wor
 
 AlphaFold, developed by DeepMind, is a landmark achievement in the application of machine learning to complex scientific problems. This AI system is designed to predict the three-dimensional structure of proteins, as shown in @fig-alphafold-overview, from their amino acid sequences, a challenge known as the "protein folding problem" that has puzzled scientists for decades. AlphaFold's success demonstrates how large-scale ML systems can accelerate scientific discovery and potentially revolutionize fields like structural biology and drug design. This case study exemplifies the use of advanced ML techniques and massive computational resources to tackle problems at the frontiers of science.
 
-![Examples of protein targets within the free modeling category. Source: Google DeepMind](./images/png/alphafold.gif){#fig-alphafold-overview}
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+![Examples of protein targets within the free modeling category. Source: Google DeepMind](images/png/alphafold.gif){#fig-alphafold-overview}
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+![Examples of protein targets within the free modeling category. Source: Google DeepMind](images/png/alphafold.png){#fig-alphafold-overview}
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 **Data Aspects**