Filter News
Area of Research
- (-) Neutron Science (10)
- (-) Supercomputing (44)
- Advanced Manufacturing (2)
- Biology and Environment (4)
- Building Technologies (1)
- Clean Energy (41)
- Climate and Environmental Systems (1)
- Computational Biology (1)
- Computational Engineering (3)
- Computer Science (12)
- Fusion and Fission (2)
- Isotopes (2)
- Materials (23)
- Materials for Computing (7)
- Mathematics (1)
- National Security (5)
- Nuclear Science and Technology (3)
- Quantum information Science (5)
News Topics
- (-) Artificial Intelligence (10)
- (-) Computer Science (46)
- (-) Energy Storage (6)
- (-) Microscopy (3)
- (-) Space Exploration (3)
- 3-D Printing/Advanced Manufacturing (4)
- Advanced Reactors (1)
- Big Data (4)
- Bioenergy (4)
- Biology (2)
- Biomedical (7)
- Buildings (1)
- Chemical Sciences (1)
- Clean Water (1)
- Climate Change (3)
- Composites (1)
- Coronavirus (3)
- Critical Materials (1)
- Cybersecurity (4)
- Environment (12)
- Exascale Computing (2)
- Frontier (5)
- Fusion (1)
- Grid (1)
- High-Performance Computing (10)
- Machine Learning (2)
- Materials (3)
- Materials Science (9)
- Nanotechnology (4)
- National Security (1)
- Neutron Science (35)
- Nuclear Energy (3)
- Physics (7)
- Polymers (1)
- Quantum Computing (5)
- Quantum Science (10)
- Security (2)
- Summit (16)
- Sustainable Energy (3)
- Transportation (5)
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