AI tool streamlines drug synthesis
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A machine-learning system trained on sparse data predicts how molecules form, cutting months of lab work to days, at a fraction of the cost.
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A physicist tackles machine learning black box
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Despite its omnipresence in society, we’re just beginning to understand the mechanisms driving machine learning. U scientist shows how physicists can play an important role in unraveling its mysteries.
Read MoreMaking machine learning accessible to all
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UteAnalytics allows a client to clean their data and conduct exploratory data analysis in various ways.
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The School of Computing received more than $1.4 million to launch a new graduate-level degree and course certificates.
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