A technique called deep learning could help Facebook understand its users and their data better.
Tom SimoniteFollow @twitterapi
IT Editor, Software & Hardware
I’m MIT Technology Review’s IT editor for hardware and software and enjoy a diverse diet of algorithms, Internet, and human-computer interaction with chips on the side. Working in our San Francisco office, I cover new ideas about what computers can do for us, whether they spring from tech giants, new startups, or academic labs.
My journey to the West Coast started in a small English town called Wantage and took in the University of Cambridge, Imperial College London, and five years writing and editing technology news coverage at New Scientist magazine.
Tom Simonite's Stories
Genevieve Bell, director of Intel’s user experience research, says companies building wearable computers haven’t figured out why people might want them.
Pushing around supply carts for miles, tending to plastic babies, and maintaining an ersatz operating theater are how one health-care giant figures out what saves money.
New research shows China’s online censorship relies on a competitive market where companies vie to offer the best speech-suppressing technology and services.
Small, portable devices could get new stamina thanks to a transistor design that can cut a computer chip’s power consumption in half.
New details of the NSA’s capabilities suggest encryption can still be trusted. But more effort is needed to fix problems with how it is used.
Leaked documents suggest that American spies can decrypt much of the data they collect by tapping into Internet service providers and telecommunications cables.
Analyzing the public traces left by every bitcoin transaction could allow law enforcement to identify many users of a currency often assumed to offer anonymity.
Silicon chips with optical technology allow a new form of superfast data connection.
Streaming designs to 3-D printers like Netflix does movies could prevent unauthorized copying.