The simplified approach makes it easier to see how neural networks produce the outputs they do. A tweak to the way artificial neurons work in neural networks could make AIs easier to decipher.

Neural networks power today’s AI boom. To understand them, all we need is a map, a cat and a few thousand dimensions. Look at a picture of a cat, and you’ll instantly recognize it as a cat. But try to ...

The integration of neural networks into fault diagnosis and condition monitoring has emerged as a transformative approach within industrial and engineering sectors. By harnessing deep architectures ...

This article is published by AllBusiness.com, a partner of TIME. What are "Neural Networks?" Neural networks are a key technology in artificial intelligence (AI) that are inspired by the human brain's ...

Researchers from the French technological university IMT Atlantique have developed a novel neural-accelerated dynamic (NAD) model for heat pumps’ heat exchangers. This model integrates both the ...

Learning a language can’t be that hard — every baby in the world manages to do it in a few years. Figuring out how the process works is another story. Linguists have devised elaborate theories to ...

Researchers have developed a new machine learning-based technique that uses only spectral data to monitor laser temperature—no contact sensors required—opening the door to simpler, non-invasive ...

Yelp has expanded its use of neural networks to improve ad matching, search results, photo classification and Yelp Waitlist, among other services. This means more relevant search results that map back ...

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 ...