Sentiment analysis is booming for blogs and tweets but more or less ignored when it comes to pictures. That looks set to change.
Deciding which books to digitise when they enter the public domain is tricky; unless you have an independent ranking of the most notable authors.
If you’ve ever struggled to make sense of an information firehose, perhaps a 3-D printed model could help.
The wisdom of crowds breaks down when people are biased. Now researchers have discovered a simple method of removing this bias–just listen to the most confident.
After more than a year of unsuccessful searching, authorities called in an elite group of statisticians. Working on their recommendations, the next search found the wreckage just a week later.
Codes we live by, laws we follow, and computers that move too fast to care.
When it comes to social media activity, London props up the global league tables. But why?
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.
IBM has built a computational creativity machine that creates entirely new and useful stuff from its knowledge of existing stuff. And the secret sauce in all this? Big data, say the computer scientists behind it.