Network scientists have discovered how social networks can create the illusion that something is common when it is actually rare.
The way scientific information diffuses through the knowledge economy is changing, and the first evidence from Wikipedia shows how.
Machines have shown some impressive flashes of intelligence in recent years. Do we need to start teaching them right from wrong?
A roundup of the most interesting stories from other sites, collected by the staff at MIT Technology Review.
Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
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.
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.
The ability to read a description of a scene and then picture it has always been uniquely human. Not anymore.