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.
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.
Machines have shown some impressive flashes of intelligence in recent years. Do we need to start teaching them right from wrong?
The secret to making profitable movies will amaze you. (Spoiler: it’s not hiring top box office stars.)
Computers have never been good at answering the type of verbal reasoning questions found in IQ tests. Now a deep learning machine unveiled in China is changing that.
Picking the most creative paintings is a network problem akin to finding super spreaders of disease. That’s allowed a machine to pick out the most creative paintings in history.
Social media is playing an increasingly important role in religious activity. Computer scientists ask: How is that reflected in the Twitter stream?
Apps like Periscope will create a complex new relationship between broadcaster and audience.