Submission Summary: 0 pending, 53 declined, 5 accepted (58 total, 8.62% accepted)
bc90021 writes: "With all the "netbooks" that are out there, which one is the best? I started reading about the new Dell Mini Inspiron 9, and searching Google for reviews on that led me to other similar products from Asus (eee), Lenovo (Ideapad), MSI Wind, and a host of others. Asus alone seems to have enough netbooks to make this question relevant. The criteria: less than $500, solid state drive, reasonably fast processor, and it should be capable of running Linux, Windows, and possibly Mac OS X. (Yes, I know, it's for experimentation purposes, and yes, I own a copy.) Obviously, the more the better (larger drive, faster processor, etc.) within the initial criteria, and I'm not afraid to open up a machine to upgrade if necessary. What do Slashdotters recommend?"
bc90021 writes: "Hot on the heels of the news that the Feds Can Use The Internet comes the Federal Government's Computer Security Report Card. Getting a "C" over all, the report breaks down the agencies and assigns them all a grade. There are plenty of F's, not the least of which is for the newly connected Department of the Interior."
bc90021 writes: "It seems like a long shot, but it could be what the country needs: a libertarian running with a populist. Over at Reclaim Liberty, there's an opinion piece about why Ron Paul should choose Al Gore as his VP."
bc90021 writes: "Electrical engineers from UC San Diego are making progress on a different kind of image search engine — one that analyzes the images themselves. At the core of this Supervised Multiclass Labeling (SML) system is a set of simple yet powerful algorithms developed at UCSD. Once you train the system, you can set it loose on a database of unlabeled images. The system calculates the probability that various objects or "classes" it has been trained to recognize are present — and labels the images accordingly. After labeling, images can be retrieved via keyword searches. Accuracy of the UCSD system has outpaced that of other content-based image labeling and retrieval systems in the literature."
bc90021 writes: "Frances E. Allen, 75, was honored for her work at IBM Corp. on techniques for optimizing the performance of compilers. It's well deserved, and she's the first woman to receive it in the 40 years of the award's history."