Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (16)
- (-) Quantum Science (6)
- (-) Transportation (2)
- 3-D Printing/Advanced Manufacturing (1)
- Big Data (11)
- Bioenergy (1)
- Biology (2)
- Biomedical (4)
- Biotechnology (1)
- Climate Change (7)
- Computer Science (31)
- Coronavirus (4)
- Cybersecurity (2)
- Decarbonization (2)
- Environment (5)
- Exascale Computing (11)
- Frontier (10)
- Grid (1)
- High-Performance Computing (10)
- Machine Learning (5)
- Materials Science (3)
- Mathematics (1)
- Nanotechnology (2)
- National Security (2)
- Net Zero (1)
- Neutron Science (3)
- Nuclear Energy (2)
- Physics (2)
- Quantum Computing (4)
- Simulation (7)
- Software (1)
- Space Exploration (1)
- Summit (15)
- Sustainable Energy (1)
Media Contacts
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
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.
Long-haul tractor trailers, often referred to as “18-wheelers,” transport everything from household goods to supermarket foodstuffs across the United States every year. According to the Bureau of Transportation Statistics, these trucks moved more than 10 billion tons of goods—70.6 ...