A machine-learning algorithm picks out the fashion models most likely to succeed.
A roundup of the most interesting stories from other sites, collected by the staff at MIT Technology Review.
A new way of analyzing disagreement on social media reveals that arguments in the Twittersphere look like fireworks.
A vivid image of a beating heart tested Facebook’s system for handling complaints from the public.
Network scientists have discovered how social networks can create the illusion that something is common when it is actually rare.
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.
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.
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.