Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (4)
- (-) Big Data (2)
- (-) Grid (3)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (5)
- Bioenergy (4)
- Biology (1)
- Biomedical (2)
- Biotechnology (1)
- Clean Water (2)
- Climate Change (1)
- Computer Science (12)
- Cybersecurity (1)
- Energy Storage (4)
- Environment (6)
- Exascale Computing (1)
- Machine Learning (1)
- Materials Science (1)
- Mercury (1)
- Nanotechnology (1)
- Neutron Science (4)
- Nuclear Energy (2)
- Polymers (1)
- Security (1)
- Space Exploration (2)
- Summit (4)
- Sustainable Energy (1)
- Transportation (5)
Media Contacts
For nearly three decades, scientists and engineers across the globe have worked on the Square Kilometre Array (SKA), a project focused on designing and building the world’s largest radio telescope. Although the SKA will collect enormous amounts of precise astronomical data in record time, scientific breakthroughs will only be possible with systems able to efficiently process that data.
Students often participate in internships and receive formal training in their chosen career fields during college, but some pursue professional development opportunities even earlier.
More than 6,000 veterans died by suicide in 2016, and from 2005 to 2016, the rate of veteran suicides in the United States increased by more than 25 percent.
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
Materials scientists, electrical engineers, computer scientists, and other members of the neuromorphic computing community from industry, academia, and government agencies gathered in downtown Knoxville July 23–25 to talk about what comes next in
Isabelle Snyder calls faults as she sees them, whether it’s modeling operations for the nation’s power grid or officiating at the US Open Tennis Championships.
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help unearth historically elusive solutions.
By analyzing a pattern formed by the intersection of two beams of light, researchers can capture elusive details regarding the behavior of mysterious phenomena such as gravitational waves. Creating and precisely measuring these interference patterns would not be possible without instruments called interferometers.
As Puerto Rico works to restore and modernize its power grid after last year’s devastating hurricane season, researchers at Oak Ridge National Laboratory have stepped up to provide unique analysis, sensing and modeling tools to better inform decisions.
Oak Ridge National Laboratory scientists have developed a crucial component for a new kind of low-cost stationary battery system utilizing common materials and designed for grid-scale electricity storage. Large, economical electricity storage systems can benefit the nation’s grid ...