Researchers create a neural network for genomics — one that explains how it achieves accurate predictions

A team of computer scientists has created a neural network that can explain how it reaches its predictions. The work reveals what accounts for the functionality of neural networks–the engines that drive artificial intelligence and machine learning–thereby illuminating a process that has largely been concealed from users.   
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