Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.

Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.

Eating plastic isn’t just a sea animal problem. Researchers found suitcase-sized masses of plastic in dromedaries’ guts in the United Arab Emirates.

Amateur and professional cryptographers, including those at the FBI, had been trying to decode the infamous serial killer's message to the media for decades.

Visual object tracking is one of the most challenging problems in multimedia processing with numerous applications, such as video retrieval, video editing, video surveillance, augmented reality, motion analysis, human-computer interaction with multimedia, etc. Despite significant progress has been made in recent years, various factors, such as occlusions, out-of-view, non-rigid deformations, il…

A massive plume of smoke lofted into the stratosphere during Australia’s fires may represent a new class of “volcanic-scale” pyrocumulonimbus clouds.

This month, Google forced out a prominent AI ethics researcher after she voiced frustration with the company for making her withdraw a research paper. The paper pointed out the risks of language-processing artificial intelligence, the type used in Google Search and other text analysis products.

In a classic experiment on human social intelligence by psychologists Felix Warneken and Michael Tomasello, an 18-month old toddler watches a man carry a stack of books towards an unopened cabinet. When the man reaches the cabinet, he clumsily bangs the books against the door of the cabinet several times, then makes a puzzled noise.

A recent study has identified four factors that predict user satisfaction with customer service chatbots. The study also found that a positive chatbot experience was associated with customer loyalty, highlighting the potential importance of the findings to corporate brands.

The artificial intelligence behind self-driving cars, medical image analysis and other computer vision applications relies on what's called deep neural networks.