• AnarchistArtificer@lemmy.world
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    1 year ago

    I work in bioinformatics and this is the kind of thing I keep trying to communicate to people in the field. Yes, these AI tools (like AlphaFold) are amazing, but if there’s a significant gap in their training data, the AI is going to have that gap too (most of the structures in the protein database were solved via X ray crystallography, which isn’t great for studying highly flexible or disordered proteins)

    • nekomusumeninaritai@lemmy.blahaj.zone
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      1 year ago

      Yes. My (minimally informed from a single class) understanding is that it sort-of depends on the problem too. Like perhaps in looking at all the data on proteins, the neural network might notice a pattern in protein folding is applicable to the tweaked problem. Of course, there is no guarantee that such a generally applicable rule exists. And even if it does, it might not be discovered by the net before overtraining occurs.