Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...

Computers aren't just getting faster these days--they're getting smarter. That's thanks largely to artificial neural networks, which consist of multiple nodes of processing designed to interpret and ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...

A Queen’s research team has developed a new way to train AI systems so they focus on the bigger picture instead of specific, ...

As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks train ...

It has been unclear how to build simulations of entire neural circuits with only measurements from a dead fly’s brain. Using machine learning to combine a wiring diagram with knowledge of the ...

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...

There are many stories of how artificial intelligence came to take over the world, but one of the most important developments is the emergence in 2012 of AlexNet, a neural network that, for the first ...

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 ...

The more lottery tickets you buy, the higher your chances of winning, but spending more than you win is obviously not a wise strategy. Something similar happens in AI powered by deep learning: we know ...