Filter News
Area of Research
- (-) Supercomputing (14)
- Advanced Manufacturing (3)
- Biological Systems (1)
- Biology and Environment (1)
- Clean Energy (18)
- Computational Engineering (1)
- Computer Science (6)
- Fusion Energy (4)
- Materials (14)
- National Security (3)
- Neutron Science (5)
- Nuclear Science and Technology (9)
- Quantum information Science (3)
News Topics
- (-) Big Data (4)
- (-) Biomedical (2)
- (-) Grid (1)
- (-) Nuclear Energy (2)
- (-) Quantum Science (4)
- (-) Sustainable Energy (2)
- 3-D Printing/Advanced Manufacturing (1)
- Advanced Reactors (1)
- Artificial Intelligence (6)
- Bioenergy (2)
- Computer Science (23)
- Cybersecurity (2)
- Energy Storage (1)
- Environment (2)
- Exascale Computing (2)
- Frontier (2)
- Materials Science (1)
- Nanotechnology (1)
- Neutron Science (1)
- Physics (1)
- Security (1)
- Space Exploration (2)
- Summit (9)
- Transportation (1)
Media Contacts
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.
OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.
OAK RIDGE, Tenn., Feb. 12, 2019—A team of researchers from the Department of Energy’s Oak Ridge and Los Alamos National Laboratories has partnered with EPB, a Chattanooga utility and telecommunications company, to demonstrate the effectiveness of metro-scale quantum key distribution (QKD).
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.