Core Security has published three
mac os X iCal-based vulnerabilities -- two that can crash the iCal program and one that could conceivably allow a hacker to take control of another person's
computer. The newly publicized exploits have gained attention recently in part because of the way in which they've been presented.
Roland Piquepaille alerts us to work by US and Israeli researchers who have developed software that can identify the subject of an image characterized using only 256 to 1024 bits of data. The researchers said this 'could lead to great advances in the automated identification of online images and, ultimately, provide a basis for
computers to see like humans do.' As an example, they've picked up about 13 million images from the Web and stored them in a searchable database of just 600 MB, making it possible to search for similar pictures through millions of images in less than a second on a typical PC. The lead researcher, MIT's Antonio Torralba, will be presenting the research next month at a conference on
computer Vision and Pattern Recognition. of this story at Slashdot.