Study employs deep learning to explain extreme events

Identifying the underlying cause of extreme events such as floods, heavy downpours or tornados is immensely difficult and can take a concerted effort by scientists over several decades to arrive at feasible physical explanations.

Machine learning contributes to better quantum error correction

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these devices practical—using an autonomous correction system ...

Biologists' mapping method illustrates paths to new proteins

Scientists at The University of Texas at Dallas are using machine learning to study proteins—the molecules that carry out essential life functions—in a way that could impact protein engineering, human health and the evolutionary ...

More cancers may be treated with drugs than previously believed

Up to 50% of cancer-signaling proteins once believed to be immune to drug treatments due to a lack of targetable protein regions may actually be treatable, according to a new study from the Perelman School of Medicine at ...

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