Plugging the leaks
Decreasing greenhouse gases, helping oil and gas companies cut costs, and ensuring nuclear safety—it’s all in a day’s work for one team of scientists from Los Alamos National Laboratory. With …
Entanglement unlocks scaling for quantum machine learning
The field of machine learning on quantum computers got a boost from new research removing a potential roadblock to the practical implementation of quantum neural networks. While theorists had previously …
Using sparse data to predict lab quakes
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research …
Machine learning refines earthquake detection capabilities
Researchers at Los Alamos National Laboratory are applying machine learning algorithms to help interpret massive amounts of ground deformation data collected with Interferometric Synthetic Aperture Radar (InSAR) satellites; the new …
New research uses machine learning to better understand subsurface geology
Los Alamos researchers are the first to successfully demonstrate a machine-learning-based seismic imaging technique applying to real data. Once this model is fully trained, it can significantly reduce the computation …
Breakthrough proof clears path for quantum AI
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as …
Lab team one of 10 awarded $26 million DOE grant for data science
A Lab research team’s project was selected in a highly competitive $26 million Department of Energy (DOE) grant program to advance chemical and materials sciences by using data science. The …
Titan on the Red
Think Alexa or Siri, but meet Titan on the Red. LANL Weapons scientists and engineers who long for an automated research assistant will soon have that support when it comes …