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Microsoft

Submission + - France Tells Its Citizens To Abandon IE (pcw.co.uk)

Freistoss writes: "Microsoft still has not released a patch for a major zero-day flaw in IE6 that was used by Chinese hackers to attack Google. After sample code was posted on a website, calls began for Microsoft to release an out-of-cycle patch. Now, France has joined Germany in recommending its citizens abandon Microsoft's much-maligned browser altogether, rather than waiting for a patch. Microsoft still insists IE8 is the "most secure browser on the market" and that they believe IE6 is the only browser susceptible to the flaw. However, security researchers warned that could soon change, and recommended considering alternative browsers as well."
Open Source

Linux Kernel 2.6.32 Released 195

diegocg writes "Linus Torvalds has officially released the version 2.6.32 of the Linux kernel. New features include virtualization memory de-duplication, a rewrite of the writeback code faster and more scalable, many important Btrfs improvements and speedups, ATI R600/R700 3D and KMS support and other graphic improvements, a CFQ low latency mode, tracing improvements including a 'perf timechart' tool that tries to be a better bootchart, soft limits in the memory controller, support for the S+Core architecture, support for Intel Moorestown and its new firmware interface, run-time power management support, and many other improvements and new drivers. See the full changelog for more details."
Government

Submission + - EU Leaders Agree on Internet Access Safeguards (net-security.org)

An anonymous reader writes: A user's Internet access may be restricted, if necessary and proportionate, only after a fair and impartial procedure including the user's right to be heard. Member of the European Parliament (MEPs) and Council representatives agreed in negotiations on Wednesday night on this, the last open issue in the telecoms package.
Music

Submission + - Going Head To Head With Genius on Playlists (ucsd.edu)

brownerthanu writes: (This is a re-submit with the second paragraph revised to include an important part of the story.)

Engineers at the University of California, San Diego are developing a system to include an ignored sector of music, deemed the 'long tail', in music recommendations. It's well known that radio suffers from a popularity bias where the most popular songs receive an inordinate amount of exposure. In Apple's music recommender system, iTunes' Genius, this bias is magnified. An underground artist will never be recommended in a playlist due to insufficient data. It's an artifact of the popular collaborative filtering recommender algorithm, which Genius is based on.

In order to establish a more holistic model of the music world, Luke Barrington and researchers at the Computer Audition Laboratory have created a machine learning system which classifies songs in an automated, Pandora-like, fashion. Instead of using humans to explicitly categorize individual songs, they capture the wisdom of the crowds via a Facebook game, Herd It, and use the data to train statistical models. The machine can then "listen to", describe and recommend any song, popular or not. As more people play the game, the machines get smarter. Their experiments show that automatic recommendations work at least as well as Genius for recommending undiscovered music.

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