Automatons Adrift

• We are getting closer to simulating the human brain. http://bit.ly/8XN6RP Here comes computed cognition! #

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• Most of the storage space in data centers is being wasted http://bit.ly/bWEO8X time to do some serious analysis. #

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• iPad Gets the University Treatment this Fall http://bit.ly/cfbEBx RT @jrhode #

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• Had a great meeting today with @leodesousa it is nice to be strategic in the comfort of my computer chair at home. #

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• Can I have some some antinuclei with nonzero strangeness on my pizza please? http://tinyurl.com/y8dj4ks Radical new form of antimatter. #
• New post on http://www.automatonsadrift.com/ A quantum understanding. Very cool research to help us advance technology. #

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It has been a while since I posted an actual article. I feel this innovation is something that a twitter post really couldn’t do justice to. Scientists at Princeton have made a dramatic leap forward in materials simulation. Traditionally when simulating materials on super computers programs must calculate the energy of an atom from scratch to determine the properties of a substance. The scratch calculation is complex and when you scale this across hundreds or thousands of atoms simulations are extremely intensive.

Enter the new formula based solution from Carter and Chen. This solution avoids having to calculate the energy of each electron in a material and instead accurately predicts the kinetic energy of electrons across the entire substance. This takes the most complex repetitive portion out of the simulation and allows it to scale to macroscopic samples of a substance.

So what does this really mean? Well, this will allow them to accurately and easily simulate how new theoretical transistor designs will work. So instead of having to actually make a new transistor from new materials and experiment to see if it performs the way you want, you can just simulate it. It can work for many other materials too, not just computer parts. What this is really letting scientists do is bring quantum properties into the realm of real simulation. This can probably help with fluid dynamics calculations, increasing the accuracy of fusion reactor simulations just as another example.

Heading toward the future, this can allow us to accurately predict how nanotech machines will function. It could even be applied to cells, helping us understand at a quantum level how human cells function. At the rate computer power scales up, efficiencies like this result in massive leaps in simulation capability. Bringing this research together with other fields like full brain simulation may result in some staggering advances.

• RT @leodesousa excellent EA post http://tinyurl.com/yhnjgst I agree with you on skill vs. talent good luck finding a Strategic Practitioner #
• Quite possibly one of the most impressive small scale robots I have seen in action. http://tinyurl.com/ydbsw88 scale this up please! #
• Will Facebook become bigger than Google? http://tinyurl.com/ykolq27 This is possible though not quite the same arena. RT @dailygalaxy #
• The story behind how Hard Disk storage is made. http://tinyurl.com/yf8y4mz An amazing look at the fab process at Western Digital. #

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• Regeneration of the pancreas, potential cure for type 1 diabetes. http://tinyurl.com/yeyf2m2 does this reduce the "life" of the organ? #

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• Oh apparently it is #dreamhost I have to tweet to win an iPad. Not so sure I really want an iPad, but a free one… I would make use of it. #
• Teleporting energy through quantum entangled atoms. http://tinyurl.com/yz7tbhm if we master entanglement we could power smart dust with this #

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• RT @neiltyson my respect for you increases every time you speak. Fantastic bit here http://bit.ly/cVFuEL worth watching. #

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