Throughout their everyday lives, humans are typically required to make a wide range of decisions, which can impact their well ...

Foundations Built for a General Theory of Neural Networks Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will ...

Early cerebellum malfunction hinders neural development, possible root of autism, theory suggests By Morgan Kelly, Office of Communications on Sept. 2, 2014, 11:30 a.m.

This post is Part I of a series. The field of consciousness studies has come of age. Prior to the 1990s, theories of consciousness were more of a philosophical pursuit than a serious scientific ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

A new idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms—and might also explain how human brains learn.

Describing artificial intelligence as having neural networks and understanding language has implications for how we understand both AI and the human brain.

Recently, Dr. Thaler and his colleagues fed their neural network a trove of data from the Large Hadron Collider, which smashes together protons in search of new particles and forces.

"Our journey into this field began truly serendipitously ... This framework could then be integrated with existing neuroscience theories. To develop their framework, they employed artificial neural ...