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Ah, science. Depressing. Oh, and wondrous, too, I guess.
Don’t Miss These Links:
- Chemists discover a greenhouse gas that’s 7,100 times worse than CO2: George Dvorsky at io9 gives us something new from the “it gets better” department.
Perfluorotributylamine, which has been in use by the electrical industry since the mid-2oth century, is the most radiatively efficient chemical known to science — a measure of how effectively a molecule can influence climate. The value of radiative efficiency is multiplied by its atmospheric concentration to determine total climate impact.
The industrial chemical is used in various electrical equipment, such as transistors and capacitors. The researchers aren’t sure how widespread its use is today.
- Facebook’s ‘Deep Learning’ Guru Reveals the Future of AI: Cade Metz at Wired helps us find out what’s coming. Probably more event invitations I don’t fully understand.
With deep learning, Facebook could automatically identify faces in the photographs you upload, automatically tag them with the right names, and instantly share them with friends and family who might enjoy them too. Using similar techniques to analyze your daily activity on the site, it could automatically show you more stuff you wanna see.
In some ways, Facebook and AI is a rather creepy combination. Deep learning provides a more effective means of analyzing your most personal of habits. “What Facebook can do with deep learning is unlimited,” says Abdel-rahman Mohamed, who worked on similar AI research at the University of Toronto. “Every day, Facebook is collecting the network of relationships between people. It’s getting your activity over the course of the day. It knows how you vote — Democrat or Republican. It knows what products you buy.”
- Outbreak! Watch How Quickly An Epidemic Would Spread Across The World: Ho! Ho! Ho! Merry Apocalypse! Thanks in part to Sydney Brownstone at Co.Exist.
In March of 2009, the Mexican government confirmed it: A four-year-old boy in eastern Mexico’s La Gloria village had swine flu, or H1N1. Sixty percent of the village had reported an unknown respiratory illness back in February, and since, it looked like the virus had jumped. A flu case later confirmed to be H1N1 popped up in California. Then, it spanned an ocean. By late April, H1N1 had been reported in Spain, Israel, New Zealand, Austria, Germany, the United Kingdom, and Switzerland.
Within an increasingly globalized and mobile world, the spread of contagion doesn’t work how it used to. But by taking these factors into account, theoretical physicist Dirk Brockmann and his colleagues have a radical new model that could predict the arrival times of the next global pandemic. The model relies on something called “effective distance,” and it destroys a centuries-old way of thinking about maps.
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