Katy Bradford: Cassette approach offers compelling construction solution
Filter News
Area of Research
- (-) Supercomputing (32)
- Advanced Manufacturing (2)
- Biology and Environment (21)
- Clean Energy (34)
- Computational Biology (1)
- Computer Science (1)
- Fusion and Fission (6)
- Isotopes (17)
- Materials (26)
- Materials for Computing (4)
- National Security (20)
- Neutron Science (38)
- Nuclear Science and Technology (7)
News Topics
- (-) Artificial Intelligence (21)
- (-) Cybersecurity (2)
- (-) Isotopes (1)
- (-) Machine Learning (7)
- (-) Neutron Science (6)
- (-) Security (1)
- (-) Space Exploration (1)
- (-) Transportation (3)
- 3-D Printing/Advanced Manufacturing (2)
- Big Data (13)
- Bioenergy (3)
- Biology (6)
- Biomedical (7)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (1)
- Climate Change (12)
- Computer Science (45)
- Coronavirus (7)
- Decarbonization (3)
- Energy Storage (1)
- Environment (13)
- Exascale Computing (13)
- Frontier (14)
- Grid (1)
- High-Performance Computing (21)
- Materials (4)
- Materials Science (8)
- Mathematics (1)
- Microscopy (2)
- Nanotechnology (5)
- National Security (3)
- Net Zero (1)
- Nuclear Energy (2)
- Physics (4)
- Quantum Computing (10)
- Quantum Science (10)
- Simulation (11)
- Software (1)
- Summit (21)
- Sustainable Energy (3)
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.
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 ...