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.

Solving 'barren plateaus' is the key to quantum machine learning

Many machine learning algorithms on quantum computers suffer from the dreaded "barren plateau" of unsolvability, where they run into dead ends on optimization problems. This challenge had been relatively unstudied—until ...

Sorting out viruses with machine learning

The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses. Now, researchers ...

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