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dateMore Than a Year Ago
subjectArtificial Intelligence
authorLawrence Berkeley National Laboratory
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Berkeley Lab Will Use Machine Learning to Estimate Covid-19's Seasonal Cycle
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Berkeley Lab Will Use Machine Learning to Estimate Covid-19's Seasonal Cycle

Berkeley Lab researchers have launched a project to assess how transmission of the novel coronavirus is influenced by climate variables, possibly waning in summer...

SMART Algorithm Makes Beamline Data Collection Smarter
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SMART Algorithm Makes Beamline Data Collection Smarter

The exponential increase in the size of data sets acquired by modern scientific instruments will require corresponding advancements in the speed and efficiency...

Text Mining of Scientific Literature Can Lead to New Discoveries
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Text Mining of Scientific Literature Can Lead to New Discoveries

Researchers at Lawrence Berkeley National Laboratory have shown that an algorithm with no training in materials science can scan the text of millions of papers...

Deep Learning Helps VA Address Suicide Risks
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Deep Learning Helps VA Address Suicide Risks

Researchers at Lawrence Berkeley National Laboratory are applying deep learning and analytics to electronic health records to help the Veterans Administration address...

Machine Learning to Help Optimize Traffic and Reduce Pollution
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Machine Learning to Help Optimize Traffic and Reduce Pollution

Scientists at Berkeley Lab, in collaboration with UC Berkeley, are using deep reinforcement learning to smooth traffic flow, reduce energy consumption, and improve...

Team Breaks Exaop Barrier With Deep Learning Application
From ACM Careers

Team Breaks Exaop Barrier With Deep Learning Application

A team of Berkeley Lab and ORNL computational scientists and Nvidia engineers has demonstrated an exascale-class deep learning application that has broken the exaop...

Harnessing Deep Learning to Better ­nderstand the ­niverse
From ACM Careers

Harnessing Deep Learning to Better ­nderstand the ­niverse

A collaboration between NERSC, Intel, and Cray has yielded CosmoFlow, a highly scalable deep learning application built on top of the TensorFlow framework.

Machine Learning Tools Generate Metadata for Science Data Searches
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Machine Learning Tools Generate Metadata for Science Data Searches

Researchers from Berkeley Lab and UC Berkeley are developing machine learning tools to pull contextual information from scientific datasets and automatically generate...

New Machine Learning Method Sees the Forests and the Trees
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New Machine Learning Method Sees the Forests and the Trees

Researchers at Berkeley Lab and UC Berkeley say the "iterative Random Forests" machine learning method will enables scientists to derive insights from systems of...

Applying Machine Learning to the ­niverse's Mysteries
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Applying Machine Learning to the ­niverse's Mysteries

Berkeley Lab scientists and their collaborators used neural networks to analyze simulations of heavy ion collisions.

Will Brain-Inspired Chips Make a Dent in Science's Big Data Problems?
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Will Brain-Inspired Chips Make a Dent in Science's Big Data Problems?

Researchers at the U.S. Department of Energy's Lawrence Berkeley National Laboratory are examining how low-power, brain-inspired neuromorphic computing systems...

Autonomous Taxis Would Deliver Significant Environmental and Economic Benefits
From ACM Careers

Autonomous Taxis Would Deliver Significant Environmental and Economic Benefits

A new study from Lawrence Berkeley National Laboratory found that a fleet of driverless taxis would be cost-effective and would greatly reduce per-mile greenhouse...
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