Advanced AI links atomic structure to quantum tech

A research team led by Oak Ridge National Laboratory has developed a new method to uncover the atomic origins of unusual material behavior. This approach uses Bayesian deep learning, a form of artificial intelligence that ...

Machine learning unravels quantum atomic vibrations in materials

Caltech scientists have developed an artificial intelligence (AI)–based method that dramatically speeds up calculations of the quantum interactions that take place in materials. In new work, the group focuses on interactions ...

How evolution rewires gene circuits to build new patterns

How do cells know what they should become as the body develops? Biological development depends crucially on spatial patterns: the lines that eventually give rise to segments, organs, or markings like stripes and spots. Yet ...

Mapping the universe, faster and with the same accuracy

If you think a galaxy is big, compare it to the size of the universe: it's just a tiny dot which, together with a huge number of other tiny dots, forms clusters that aggregate into superclusters, which in turn weave into ...

DNA-based neural network learns from examples to solve problems

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech researchers have been developing a neural network made out of strands of DNA instead of electronic parts ...

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