News

Identifying Suicide Risk in Veterans

Berkeley Lab researchers apply deep learning, data analytics to help the VA address medical and psychological challenges affecting many veterans

April 4, 2019

Better Simulations on the Cheap

ExaLearn will interpolate details from sparse data to create surrogate models, first for cosmology

March 10, 2019

Detecting Global Weather and Climate Patterns

ClimateNet will use deep learning to shed light on the changing behavior of extreme weather and climate

February 25, 2019

Combing Cosmological Data for the Big Picture

Berkeley Lab researcher wins LSST machine-learning competition with code that sorts simulated telescope data

January 25, 2019

Tracing the Nature of Neutrinos

IceCube research garners best paper award at IEEE machine learning conference

December 21, 2018

Identifying Extreme Weather

Berkeley Lab-led team shares 2018 Gordon Bell Prize for deep learning climate application

November 20, 2018

Optimizing Traffic

Using machine learning in smart and sustainable mobility solutions

October 28, 2018

Supporting Sustainable Farming

Harnessing the power of machine learning and microbiology

October 28, 2018

Probing the Cosmic Fabric

Deep Learning and 3D simulations to assist scientists exploring the physics of the Universe

September 5, 2018

Learning from Living Cells

Infrared beams, machine learning show cell types in a different light

August 23, 2018

Creating a Groundwater Early Warning System

Monitoring contaminant plumes

August 13, 2018

Big Data Challenges and Advanced Computing Solutions

Kathy Yelick testifies to Congressional committee about ML in science

July 12, 2018

A ‘Google for Science’

Automating metadata discovery to search scientific images, data

June 19, 2018

Biofuels Bonanza

Predicting microbial biofuel production to speed up bioengineering

May 29, 2018

Extreme Weather

Deep learning at 15 pflops to identify extreme weather at scale

March 29, 2018

Metagenomic Clustering

Making sense of a genomic ‘data deluge’

March 12, 2018

Teaching Computers to Guide Science

Berkeley Lab, UC Berkeley's “Iterative Random Forests” deliver science insights

March 6, 2018

‘Minimalist Machine Learning’

Analyzing experimental images from limited training data

February 21, 2018

Unlocking Mysteries of the Universe

Teaching machines to analyze simulations of exotic subatomic ‘soup’

January 30, 2018