Better computer-vision algorithms overlay digital information on the real world.
I’m a freelance science and technology journalist based in San Francisco. I was the information technology editor at MIT’s Technology Review from 2005 to 2009, where I wrote more than 350 stories about emerging technologies in areas that include computers, mobile devices, displays, communication networks, Internet startups, and more.
I was an integral part of a technology trend-spotting team, highlighting early work in reality mining, plasmonics, adaptable networks, and racetrack memory. I’ve contributed to The Economist, U.S News & World Report, Gizmodo, New Scientist, Science News, and SELF, among other publications. And I’m currently working on a book with Nathan Eagle called Reality Mining: Using Big Data to Engineer a Better World (MIT Press).
Kate Greene's Stories
Wireless chips could soon manage a gigabit of data per second.
Double the normal number of bits are crammed into each memory cell.
The chip maker tries to diversify with system-on-chip designs.
The software now lets users dive miles beneath the ocean waves.
A personalization search tool reveals links buried deep within page results.
Researchers have made ultrathin refrigerators for microprocessors.
A startup hopes to tap into the expertise of developing nations via cell phones.
Visualization software makes viewing and interacting with enormous data sets practical without a supercomputer.
The electronics industry hopes to woo consumers with eye-popping technology.