Machine learning accelerates cosmological simulations

A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week's Proceedings of the National ...

When algorithms go bad: How consumers respond

Researchers from University of Texas-Austin and Copenhagen Business School published a new paper in the Journal of Marketing that offers actionable guidance to managers on the deployment of algorithms in marketing contexts.

Can machine learning improve debris flow warning?

Machine learning could provide up an extra hour of warning time for debris flows along the Illgraben torrent in Switzerland, researchers report at the Seismological Society of America (SSA)'s 2021 Annual Meeting.

Streamlining the process of materials discovery

Developing new materials and novel processes has continued to change the world. The M3I3 Initiative at KAIST has led to new insights into advancing materials development by implementing breakthroughs in materials imaging ...

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