Big picture, big data: Swiss unveil VR software of universe
The final frontier has rarely seemed closer than this—at least virtually.
The final frontier has rarely seemed closer than this—at least virtually.
Astronomy
Oct 12, 2021
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472
(Phys.org)—Inspired by natural selection and the concept of "survival of the fittest," genetic algorithms are flexible optimization techniques that can find the best solution to a problem by repeatedly selecting for and ...
A team of researchers affiliated with several institutions in Germany and the U.S. has developed a deep learning algorithm that can be used for motion capture of animals of any kind. In their paper published in the journal ...
Andrey Savchenko, Professor at the Higher School of Economics (HSE University), has developed a method that can help to enhance image identification on videos. In his project, a network was taught by a new algorithm and can ...
Machine learning & AI
Jun 21, 2019
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0
The key to solving many of the most important problems in business, science and technology lies in optimization—finding the values for variables that give you the highest benefit.
Computer Sciences
Aug 13, 2015
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925
While 3-D printers have become relatively cheap and available, 3-D scanners have lagged well behind. But now, an algorithm developed by Brown University researchers my help bring high-quality 3-D scanning capability to off-the-shelf ...
Computer Sciences
Dec 22, 2015
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1825
U.S. Army Research Laboratory scientists have discovered a way to leverage emerging brain-like computer architectures for an age-old number-theoretic problem known as integer factorization.
Computer Sciences
Mar 22, 2018
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282
There are high hopes that quantum computing's tremendous processing power will someday unleash exponential advances in artificial intelligence. AI systems thrive when the machine learning algorithms used to train them are ...
Quantum Physics
Mar 14, 2019
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952
Scientists at Linköping University have shown how a quantum computer really works and have managed to simulate quantum computer properties in a classical computer. "Our results should be highly significant in determining ...
Quantum Physics
Sep 3, 2019
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351
A machine-learning algorithm that can predict the compositions of trend-defying new materials has been developed by RIKEN chemists1. It will be useful for finding materials for applications where there is a trade-off between ...
Materials Science
Aug 7, 2020
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319