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Comment Re:Figures (Score 2) 147

There's looking out for the environment and there's looking out for number one. Now we know where they stand.

I'm actually impressed. Who else is this honest? Most people wouldn't mention the oil and gas, just the environmental impact. Whether or not I agree with them, I respect the straightforwardness.
Medicine

Bringing Open Source To Biomedicine 60

waderoush writes "'Facebook and Twitter may have proven that humans have a deep-seated desire for sharing, [but] this impulse is still widely suppressed in biomedicine,' biotech reporter Luke Timmerman observes in this column on Sage Bionetworks founder Stephen Friend. Friend is working to convince drugmakers and academic researchers to pool their experimental genomic data in a shared database called the Sage Commons. The database could be used to track adverse drug events, or to 'visually display network models of disease that connect the dots between genes, proteins, and clinical manifestations of disease in ways that [scientific] journals are not equipped to handle,' Timmerman says. Researchers from Stanford, Columbia, UCSF, and UCSD are already contributing to the Sage Commons, and Friend is now calling for a community effort by drugmakers, academic scientists, doctors, regulators, insurers, and patients to 'grab this platform and run with it on their own."

Comment Re:250GB cap is meant to discourage competing serv (Score 1) 698

I totally agree. This is all about the video services they want to sell. I've noticed in the past month that my connection to Hulu has become extremely slow. On another point, I actually talked to the comcast people about my connection slowing down, and the comcast customer care center told me that my connection speed was due to my cookies -- I could pay to have someone come over and clean out my cookies for me, and that would make my connection faster....

Comment Re:Parallel is here to stay but not for every app (Score 1) 321

"Parallel is not going to go anywhere..."

Really? Look inside any machine nowadays. I'm working on an 8 core machine right now. The individual cores aren't going to get that much faster in the years to come, but the number of cores in a given processor is going to increase dramatically. Unless you want your programs to stay at the same execution speed for the next 5-10 years, you need parallel. And what we need is languages and compilers that abstract away the actual hard work so that anybody can make a parallel program.

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