Transformer Architectures
Neural-network systems that model relationships among tokens using attention and parallel sequence processing.
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Computational Protein Design
The algorithmic creation of amino-acid sequences expected to fold into structures with specified biochemical functions.
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Graph Neural Networks
Machine-learning architectures that learn representations from entities connected by relational structure.
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Artificial Neural Networks
Layered computational models that learn distributed representations by adjusting weighted connections from data.
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