Filter News
Area of Research
- Biology and Environment (9)
- Clean Energy (23)
- Computer Science (1)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (2)
- Isotopes (1)
- Materials (17)
- Materials for Computing (2)
- National Security (11)
- Neutron Science (16)
- Nuclear Science and Technology (1)
- Supercomputing (17)
News Topics
- (-) Artificial Intelligence (15)
- (-) Grid (16)
- (-) Machine Learning (10)
- (-) Neutron Science (20)
- (-) Quantum Science (12)
- (-) Space Exploration (6)
- (-) Transportation (17)
- 3-D Printing/Advanced Manufacturing (17)
- Advanced Reactors (5)
- Big Data (10)
- Bioenergy (21)
- Biology (29)
- Biomedical (10)
- Biotechnology (3)
- Buildings (16)
- Chemical Sciences (15)
- Clean Water (6)
- Climate Change (27)
- Composites (6)
- Computer Science (34)
- Coronavirus (9)
- Critical Materials (5)
- Cybersecurity (10)
- Decarbonization (21)
- Element Discovery (1)
- Energy Storage (27)
- Environment (39)
- Exascale Computing (8)
- Fossil Energy (1)
- Frontier (10)
- Fusion (11)
- High-Performance Computing (16)
- Hydropower (8)
- Irradiation (1)
- Isotopes (10)
- ITER (2)
- Materials (37)
- Materials Science (26)
- Mercury (2)
- Microscopy (18)
- Molten Salt (4)
- Nanotechnology (18)
- National Security (17)
- Net Zero (2)
- Nuclear Energy (20)
- Partnerships (8)
- Physics (19)
- Polymers (10)
- Quantum Computing (7)
- Security (11)
- Simulation (6)
- Summit (9)
- Sustainable Energy (25)
- Transformational Challenge Reactor (2)
Media Contacts
![ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system. ORNL’s Steven Young (left) and Travis Johnston used Titan to prove the design and training of deep learning networks could be greatly accelerated with a capable computing system.](/sites/default/files/styles/list_page_thumbnail/public/news/images/RAvENNA%20release%20pic.png?itok=2bDpK5Mo)
A team of researchers from the Department of Energy’s Oak Ridge National Laboratory has married artificial intelligence and high-performance computing to achieve a peak speed of 20 petaflops in the generation and training of deep learning networks on the
![California charging EV station map California charging EV station map](/sites/default/files/styles/list_page_thumbnail/public/news/images/Untitled-1%20%281%29.jpg?itok=NkA3kv-0)
Officials responsible for anticipating the demand for electric vehicle charging stations could get help through a sophisticated new method developed at Oak Ridge National Laboratory. The method considers electric vehicle volume and the random timing of vehicles arriving at cha...