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ScienceDaily: Computer Programming News
Human, artificial intelligence join forces to pinpoint fossil locations
Galaxy DNA-analysis software is now available 'in the cloud'
Could social media be used to detect disease outbreaks?
Fighting violent gang crime with math
Three key questions for the IT industry
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Aggregating bandwidth for faster mobile networks
Wearable depth-sensing projection system makes any surface capable of multitouch interaction
Differing structures underlie differing brain rhythms in healthy and ill, virtual modeling reveals
Reduce cyber attacks by protecting and rewarding secure networks on the Internet
Professor uncovers potential issues with apps built for Android systems
'Robot biologist' solves complex problem from scratch
Visionary software combines different database systems
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New technique offers enhanced security for sensitive data in cloud computing
Researchers develop optimal algorithm for determining focus error in eyes and cameras
New targets for the control of HIV predicted using a novel computational analysis
Sequencing 'dark matter' of life: Elusive genomes of thousands of bacteria species can now be decoded
Cancer information on Wikipedia is accurate, but not very readable, study finds
Smartphone battery life could dramatically improve with new invention
Source
Mon, 21 Nov 2011 15:15:15 EST
Traditionally, fossil-hunters often could only make educated guesses as to where fossils lie. The rest lay with chance. But thanks to a new software model, fossil-hunters' reliance on luck when finding fossils may be diminishing. Using artificial neural networks, researchers developed a computer model that can pinpoint productive fossil sites.