Machine learning tackles quantum error correction

(Phys.org)—Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design ...

Meet the first Neanderthal family

The first Neanderthal draft genome was published in 2010. Since then, researchers from the Max Planck Institute for Evolutionary Anthropology have sequenced a further 18 genomes from 14 different archaeological sites throughout ...

Identifying organic compounds with visible light

Researchers from the Universidad de Santiago de Chile and the University of Notre Dame, working with machine learning, have devised a method to identify organic compounds based on the refractive index at a single optical ...

The rise of machine learning in astronomy

When mapping the universe, it pays to have some smart programming. Experts share how machine learning is changing the future of astronomy.

World's fastest 2-D camera may enable new scientific discoveries

A team of biomedical engineers at Washington University in St. Louis, led by Lihong Wang, PhD, the Gene K. Beare Distinguished Professor of Biomedical Engineering, has developed the world's fastest receive-only 2-D camera, ...

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