Topic: AI and machine learning | SLAC National Accelerator Laboratory

AI and machine learning

Artificial intelligence (AI) simply means intelligence in machines, in contrast to natural intelligence found in humans and other natural organisms. Machine learning involves systems that automatically learn from the data they analyze and the results they obtain to improve their ability to work with that data in the future.

AI and ML at SLAC

DOE explains... artificial intelligence

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News Release

SLAC and Stanford researchers demonstrate that brain-mimicking ‘neural networks’ can revolutionize the way astrophysicists analyze their most complex data, including extreme distortions in spacetime...

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KIPAC scientists have for the first time used artificial neural networks to analyze complex distortions in spacetime, called gravitational lenses, demonstrating that the method...

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Over the next five years they’ll work on getting significantly more information about how catalysts work and improving biological imaging methods.

Cornelius Gati and Franklin Fuller, the 2017 Panofsky fellows at SLAC

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An advance by SLAC and Stanford researchers greatly reduces the time needed to analyze complex catalytic reactions for making fuel, industrial chemicals and other...

KIPAC scientists have for the first time used artificial neural networks to analyze complex distortions in spacetime, called gravitational lenses, demonstrating that the method is 10 million times faster than traditional analyses.

Over the next five years they’ll work on getting significantly more information about how catalysts work and improving biological imaging methods.

An advance by SLAC and Stanford researchers greatly reduces the time needed to analyze complex catalytic reactions for making fuel, industrial chemicals and other products, and should improve computational analysis throughout chemistry.

AI and machine learning

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Artificial intelligence analyzes gravitational lenses 10 million times faster

Neural Nets and Gravitational Lenses

Franklin Fuller and Cornelius Gati Named 2017 Panofsky Fellows at SLAC

Machine Learning Dramatically Streamlines Search for More Efficient Chemical Reactions

Artificial intelligence analyzes gravitational lenses 10 million times faster

Neural Nets and Gravitational Lenses

Franklin Fuller and Cornelius Gati Named 2017 Panofsky Fellows at SLAC

Machine Learning Dramatically Streamlines Search for More Efficient Chemical Reactions