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Submission Summary: 0 pending, 53 declined, 5 accepted (58 total, 8.62% accepted)

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Submission + - Best Netbook So Far?

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?"

Submission + - Fed Computer Security Report Card Released

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."

Submission + - New Algorithms Improve Image Search

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."

The reason computer chips are so small is computers don't eat much.