How a consumer genetics company amassed a database of willing research participants.
The rapidly evolving ecosystems associated with personal data is creating an entirely new field of scientific study, say computer scientists. And this requires a much more powerful ethics-based infrastructure.
Aggregate data and decision making are being hoarded by a few technology companies with powerful data infrastructure. Does it have to be this way? Or could we create a future in which this data infrastructure is available for use by anyone in the world?
In September, computer scientists revealed that machines are now almost as good as humans at object recognition; and the turning point occurred in 2012.
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.
The friendship paradox is the empirical observation that your friends have more friends than you do. In January, network scientists revealed that your friends are probably wealthier and happier, too.
In August, a study of 50,000 people in Italy concluded that online social networks have a significant negative impact on individual welfare.
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.
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.