A new eco-city planned in Portugal takes a cue from biology, using a centralized computer “brain” to control functions like water use, waste processing and energy consumption. It’s the biggest attempt at urban metabolism, which attempts to compare cities to living organisms.
A new visual recognition program developed at MIT uses a process of elimination to identify objects much more efficiently than the matching techniques used by existing software. Line by line, piece by piece, it identifies commonalities between everyday objects, resulting in line drawings that resemble an artist's sketch.
Unlike other object-recognition programs, it doesn't need to be trained to look for specific features -- say, eyes, a nose and a mouth. Rather, it starts with small lines, searching for basic visual cues shared by multiple examples of the same object. Then it looks for combinations of those features shared by multiple examples, and then combinations of those combinations, and so on.
Ever wish you could read minds? While the technology to correctly call your poker buddies' bluffs still eludes us, researchers in the UK have shown that brain-to-brain communication is indeed possible. All you need is some electrodes, a computer, and an Internet connection.
This student team is running its own private competition: It's entering two vehicles, each programmed to act quite differently
By Elizabeth SvobodaPosted 10.05.2005 at 2:00 am 0 Comments
In this, the fourth of a series, Popular Science profiles one of the favored teams competing to win the Darpa Grand Challenge autonomous-vehicle race, which will take place on Saturday, October 8, near Primm, Nevada. Today we look at the Virginia Tech team's two entries, each of which takes a different approach to the problem. Stay tuned to popsci.com for more previews throughout the week and for minute-by-minute videos and updates on race day.