Network scientists have discovered how social networks can create the illusion that something is common when it is actually rare.
In a world first, a machine plays chess by evaluating the board rather than using brute force to work out every possible move.
The ability to number-crunch vast amounts of words is creating a new science of linguistics.
The best way for AI machines to learn is by feeding them huge data sets of annotated examples, and the Daily Mail has unwittingly created one.
Codes we live by, laws we follow, and computers that move too fast to care.
Leading Bitcoin startup BitPay is cutting costs, suggesting that the currency won’t be catching on soon.
Location-based social networks are allowing scientists to study the way human patterns of behavior change in time and space, a technique that should eventually lead to deeper insights into the nature of society.
Computer scientists have discovered a way to number-crunch an individual’s own preferences to recommend content from others with opposing views. The goal? To burst the “filter bubble” that surrounds us with people we like and content that we agree with.