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Computers trump chemists by studying failed experiments
In science, the pursuit of truth requires constant experimentation and, inevitably, a few failures along the way. But that's okay, because learning from those failures is often necessary in order to uncover a new, remarkable breakthrough. Now, a team of researchers from Haverford College is trying to speed up this trial and error process with a machine-learning algorithm, capable of predicting successful chemical reactions.
