Lawrence Livermore National Laboratories Director Dr. Kim Budil speaks during a news conference with fellow administrators and scientists at the Department of Energy headquarters to announce a ...

Nuclear fusion scientists have developed a machine learning model to automatically spot and keep track of blobs of plasma that form inside nuclear reactors, paving the way to a better understanding of ...

Although ovarian cancer is the deadliest type of cancer for women, only about 20% of cases are found at an early stage, as there are no real screening tests for them and few symptoms to prompt them.

Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility ...

Tokamaks are machines that are meant to hold and harness the power of the sun. These fusion machines use powerful magnets to contain a plasma hotter than the sun's core and push the plasma's atoms to ...

New research yields a novel method to use ultrasound to enhance machine learning's ability to accurately diagnose -- or rule out -- ovarian cancer. Although ovarian cancer is the deadliest type of ...

Change is driven by the huge amount of data growth, with organizations now running workflows typically seen in High Performance Computing (HPC). Compute Systems, whether at the core, the cloud, or the ...

Although ovarian cancer is the deadliest type of cancer for women, only about 20% of cases are found at an early stage, as there are no real screening tests for them and few symptoms to prompt them.