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Genetic algorithms can improve quantum simulations

(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 ...

Applying deep learning to motion capture with DeepLabCut

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 ...

Algorithm helps turn smartphones into 3-D scanners

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 ...

Researchers put machine learning on path to quantum advantage

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 ...

Spreading light over quantum computers

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 ...

Algorithm predicts the compositions of new materials

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 ...

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