Filter News
Area of Research
News Topics
- (-) Artificial Intelligence (2)
- (-) Machine Learning (1)
- (-) Polymers (1)
- 3-D Printing/Advanced Manufacturing (2)
- Bioenergy (2)
- Biology (4)
- Biotechnology (1)
- Chemical Sciences (1)
- Climate Change (1)
- Composites (2)
- Computer Science (9)
- Cybersecurity (2)
- Energy Storage (1)
- Environment (2)
- Frontier (3)
- Fusion (1)
- High-Performance Computing (2)
- Materials (2)
- Materials Science (2)
- Microscopy (2)
- Nanotechnology (1)
- National Security (1)
- Neutron Science (1)
- Physics (1)
- Quantum Computing (3)
- Quantum Science (2)
- Summit (5)
Media Contacts
![Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-11/2008-P01679_0.jpg?h=6acbff97&itok=ewBiiftq)
Ten scientists from the Department of Energy’s Oak Ridge National Laboratory are among the world’s most highly cited researchers, according to a bibliometric analysis conducted by the scientific publication analytics firm Clarivate.
![Oak Ridge National Laboratory’s MENNDL AI software system can design thousands of neural networks in a matter of hours. One example uses a driving simulator to evaluate a network’s ability to perceive objects under various lighting conditions. Credit: ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/CARLA%20MENNDL%20sim001_1.png?h=e2caa22a&itok=tvE9seMo)
The Department of Energy’s Oak Ridge National Laboratory has licensed its award-winning artificial intelligence software system, the Multinode Evolutionary Neural Networks for Deep Learning, to General Motors for use in vehicle technology and design.
![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