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 ...

Computer Sciences

Researchers offer standards for studies using machine learning

Researchers in the life sciences who use machine learning for their studies should adopt standards that allow other researchers to reproduce their results, according to a comment article published today in the journal Nature ...

Machine learning & AI

Researchers use AI to unlock the secrets of ancient texts

The Abbey Library of St. Gall in Switzerland is home to approximately 160,000 volumes of literary and historical manuscripts dating back to the eighth century—all of which are written by hand, on parchment, in languages ...

Electronics & Semiconductors

'Origami' testing app could help tackle spread of malaria

A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in ...

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.

Computer Sciences

Neural network trained to properly name organic molecules

Skoltech researchers and their colleagues from Lomonosov Moscow State University and the Syntelly start-up have developed and trained a neural network to generate names for organic compounds in accordance with the IUPAC nomenclature ...

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