Websense researchers have developed FireShark, software that automatically monitors malicious activity on Web sites. Websense researcher Stephan Chenette says the experimental system scans the Web, identifies the source of embedded content in Web pages, and determines whether any code on a site is acting maliciously. FireShark then creates a map of interconnected Web sites and looks for potentially malicious content. FireShark, which maps nearly one million Web sites and servers per day, decodes the HTML, Javascript, and other code embedded in each Web site, looking for the ultimate source of content. “When you graph multiple sites, you can see their communities of content,” Chenette says. Websense researchers plan to release a plug-in for Firefox that will reveal the content hubs that a site is linked to.
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University of Jaen (UJA) telecommunications engineers have developed a method to automatically detect and identify musical notes in an audio file and generate sheet music. The system can identify notes from different instruments, musicians, types of music, or recording studio conditions. “We propose an automatic system to detect and transcribe musical notes for one-instrument musical signals which, unlike other methods, is capable of adapting to the music scene,” says UJA’s Julio Jose Carabias. “Automatic music transcription has many practical applications for musicological analysis and is of enormous assistance, for example, in recovering musical content, separating audio sources, and codifying or converting audio files.” The researchers’ method converts WAV music files into MIDI files, which makes it possible to visualize the sheet music and listen to the result. “Another advantage of this method is that it does not require prior training with a musical database,” Carabias says.
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Researchers at the Freie Universitat Berlin’s Artificial Intelligence Group have developed eyeDriver, software that enables users to steer a car with their eyes. The driver wears a helmet that features two cameras. One camera is pointed at the driver’s eyes and captures their movements, and the other camera points forward. The data is transmitted in regular intervals to an onboard laptop computer, where the eyeDriver software converts the data into control signals for the steering wheel. The software can calculate the position of the pupil in the eye, as well as the position in the scene that the user is looking at. The software has two modes. In “free ride” mode, the driver’s gaze direction determines the desired position of the steering wheel. In “routing” mode, the software steers autonomously unless an intersection or fork in the road appears. In that case, the car stops and the driver must select the desired route.
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