Turing's 1950 paper didn't just pose the profound question, "Can machines think?". It ignited a quest to build AI technology ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

The default mode network (DMN) is a set of interconnected brain regions known to be most active when humans are awake but not ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision making. The findings from Princeton neuroscientists may one day improve how ...

The origins of modern AI can be traced back to psychology in the mid-20th century. In 1949, psychologist Donald Hebb proposed ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Below are strategies for cutting through the noise—by facing hard questions head-on rather than deferring them.

And Vince said, 'No.' He was strongly advocating for the script and for the character. And, to their credit, the person or persons on the call backed down, because they had to trust Vince. But ...