A chip that uses a million digital neurons and 256 million synapses may signal the beginning of a new era of more intelligent computers.
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
A system designed to let carriers remotely install software on phones, or change their settings without a user noticing, is open to abuse.
Researchers at IBM are testing a version of Watson designed to listen and contribute to business meetings.
Chips made with nanotube transistors, which could be five times faster, should be ready around 2020, says IBM.
Research suggests that surveillance agencies could use statistical tricks to peek through the encryption that protects Web browsing.
Rethinking smartphone software and battery design could make it possible for your handset to last much longer between charges.
The Chinese Web giant Baidu is researching ways to build artificial neural networks that learn without guidance from humans. We spoke to the man leading that effort.
The Roomba maker is working on technology that could enable robots to help with more household chores.
Efforts to build robot hands and humanoids more cheaply could make them affordable enough for businesses and even homes.
Microsoft’s new personal assistant includes features found in Apple and Google’s own virtual helpers.