Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (1)
- (-) Composites (2)
- (-) Grid (1)
- (-) Materials Science (7)
- (-) Quantum Science (1)
- 3-D Printing/Advanced Manufacturing (2)
- Bioenergy (1)
- Biomedical (3)
- Computer Science (6)
- Critical Materials (1)
- Energy Storage (1)
- Fusion (1)
- Isotopes (5)
- Microscopy (4)
- Nanotechnology (6)
- Neutron Science (3)
- Nuclear Energy (2)
- Physics (5)
- Polymers (4)
- Security (1)
- Space Exploration (1)
- Summit (2)
- Transportation (3)
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