Filter News
Area of Research
- (-) National Security (13)
- (-) Supercomputing (46)
- Biological Systems (1)
- Biology and Environment (38)
- Biology and Soft Matter (1)
- Clean Energy (28)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Electricity and Smart Grid (1)
- Fusion and Fission (6)
- Isotopes (3)
- Materials (24)
- Materials for Computing (4)
- Neutron Science (9)
- Nuclear Science and Technology (5)
- Quantum information Science (1)
News Topics
- (-) Artificial Intelligence (25)
- (-) Biomedical (7)
- (-) Climate Change (15)
- (-) Exascale Computing (12)
- (-) Grid (4)
- (-) Nanotechnology (5)
- (-) Physics (3)
- 3-D Printing/Advanced Manufacturing (3)
- Big Data (15)
- Bioenergy (4)
- Biology (8)
- Biotechnology (2)
- Buildings (2)
- Chemical Sciences (1)
- Computer Science (49)
- Coronavirus (8)
- Cybersecurity (8)
- Decarbonization (4)
- Energy Storage (1)
- Environment (16)
- Frontier (13)
- High-Performance Computing (22)
- Machine Learning (13)
- Materials (5)
- Materials Science (9)
- Mathematics (1)
- Microscopy (2)
- National Security (23)
- Net Zero (1)
- Neutron Science (7)
- Nuclear Energy (3)
- Quantum Computing (10)
- Quantum Science (11)
- Security (6)
- Simulation (10)
- Software (1)
- Space Exploration (1)
- Summit (21)
- Sustainable Energy (3)
- Transportation (3)
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.
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
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.