Another chance to catch the most interesting, and important, articles from the previous week on MIT Technology Review.
In December, Google engineers trained a machine-learning algorithm to write picture captions using the same techniques it developed for language translation.
What do the latest technologies to flop, fizzle, and flame out tell us about innovation?
Several technologies allow aircraft to be tracked over the ocean via satellite, but most solutions are costly.
A new kind of computer memory could help make more capable computer chips that function more like biological brains, say IBM researchers.
In October, DeepMind unveiled a neural network that can access an external memory like a conventional Turing machine. The result is a computer that mimics the short-term memory of the human brain.
The past year saw progress in developing hardware and software capable of human feats of intelligence.
From Facebook’s purchase of WhatsApp to the possibility of peak coal in China, the numbers told the tale.
Google can identify and transcribe all the views it has of street numbers in France in less than an hour, thanks to a neural network that’s just as good as human operators. In January, its engineers revealed how they developed it.
Routers on 600 buses and taxis allow free Internet access and collect data for city planners.