iandoh writes "Stanford researchers have found that voters are subconsciously swayed by candidates who share their facial features. In three experiments, researchers at the Virtual Human Interaction Lab worked with cheap, easy-to-use computer software to morph pictures of about 600 test subjects with photos of politicians. And they kept coming up with the same results: For the would-be voters who weren't very familiar with the candidates or in perfect lockstep with their positions or political parties, the facial similarity was enough to clinch their votes."

javipas writes "A simple analysis of the most updated version (a Git checkout) of the Linux kernel reveals that the number of lines of all its source code surpasses 10 million, but attention: this number includes blank lines, comments, and text files. With a deeper analysis thanks to the SLOCCount tool, you can get the real number of pure code lines: 6.399.191, with 96.4% of them developed in C, and 3.3% using assembler. The number grows clearly with each new version of the kernel, that seems to be launched each 90 days approximately."

caffeinemessiah writes "The New York Times has an interesting story on a new algorithm by researchers from Tel Aviv University that modifies a facial picture of a person to conform to standards of attractiveness. Based on a digital library of pictures of people who have been judged 'attractive,' the algorithm finds the nearest match and modifies an input picture so it conforms to the 'attractive' person's proportions. The trick, however, is that the resultant pictures are still recognizable as the original person. Here's a quick link to a representative picture of the process. Note that this is a machine-learning approach to picture modification, not a characterization of beauty, and could just as easily be used to make a person less attractive." Note: As reader Trent Waddington points out, the underlying research was mentioned in an earlier story as well.

Madas writes "This article on Absolute Gadget details how researchers at Boston University's College of Engineering are working on devloping wireless networks that use LED lights instead of normal radio waves. This research apparently has other uses in the automobile industry. Apparently the LEDs could warn you if the driver in front has put the brakes on so could avoid hitting the car in front. Personally, I'd use the vision balls that are in my thought box."

BT (the incumbent telephone company in the United Kingdom) are in the process of spending millions of pounds on upgrading their network to an all-IP core. However, they have failed to consider 21st Century protocol support, preferring to insist that IPv4 is enough for everyone. Haven't they noticed the IPv4 exhaustion report yet?