For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...

Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice and artificial intelligence systems each develop cooperation: working ...

Sustainability advocate and AI engineer Sathya Kannan has recently unveiled a framework that claims to be capable of reducing global carbon dioxide (CO₂) emissions leveraging AI neural networks. In ...

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...

Our eyes can frequently play tricks on us, but scientists have discovered that some artificial intelligence can fall for the same illusions.

In the rapidly evolving artificial intelligence landscape, one of the most persistent challenges has been the resource-intensive process of optimizing neural networks for deployment. While AI tools ...

Humans& Inc., a three-month-old artificial intelligence startup, today announced that it has closed a $480 million seed round ...

What if AI could keep learning like a human brain, in new conditions even after it was used, deployed & put to use in real life? A Liquid Neural Network (LNN) is a new type of artificial intelligence ...

Hyundai is quietly building a new kind of automotive brain, a $100,000 scale AI stack designed to treat every car as a ...

A hunk of material bustles with electrons, one tickling another as they bop around. Quantifying how one particle jostles others in that scrum is so complicated that, beginning in the 1990s, physicists ...