Computer Sciences

Imaginary numbers protect AI from very real threats

Computer engineers at Duke University have demonstrated that using complex numbers—numbers with both real and imaginary components—can play an integral part in securing artificial intelligence algorithms against malicious ...

Machine learning & AI

Interpretable machine learning predicts terrorism worldwide

About 20 years ago, a series of coordinated terrorist attacks killed almost 3,000 people in the World Trade Center, New York and at the Pentagon. Since then, a vast amount of research has been carried out to better understand ...

Computer Sciences

Platform teaches nonexperts to use machine learning

Machine-learning algorithms are used to find patterns in data that humans wouldn't otherwise notice, and are being deployed to help inform decisions big and small—from COVID-19 vaccination development to Netflix recommendations.

Electronics & Semiconductors

Exploring extremes: When is it too hot to handle?

Exploring extreme environments can put significant operational challenges on the engineering systems we depend upon to safely explore and at times operate within.

Electronics & Semiconductors

Toward new solar cells with active learning

How can I prepare myself for something I do not yet know? Scientists from the Fritz Haber Institute in Berlin and from the Technical University of Munich have addressed this almost philosophical question in the context of ...

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