Filter News
Area of Research
- (-) Clean Energy (49)
- (-) Supercomputing (61)
- Advanced Manufacturing (7)
- Biology and Environment (24)
- Building Technologies (1)
- Computer Science (3)
- Fusion and Fission (3)
- Fusion Energy (2)
- Isotopes (2)
- Materials (33)
- Materials for Computing (2)
- National Security (18)
- Neutron Science (16)
- Nuclear Science and Technology (9)
- Quantum information Science (3)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (35)
- (-) Artificial Intelligence (22)
- (-) Biomedical (14)
- (-) Computer Science (52)
- (-) Cybersecurity (7)
- (-) Microscopy (6)
- Advanced Reactors (3)
- Big Data (14)
- Bioenergy (14)
- Biology (7)
- Biotechnology (4)
- Buildings (12)
- Chemical Sciences (10)
- Clean Water (2)
- Climate Change (20)
- Composites (7)
- Coronavirus (16)
- Critical Materials (4)
- Decarbonization (17)
- Energy Storage (32)
- Environment (32)
- Exascale Computing (15)
- Fossil Energy (1)
- Frontier (16)
- Fusion (1)
- Grid (22)
- High-Performance Computing (20)
- Hydropower (1)
- Isotopes (1)
- Machine Learning (12)
- Materials (14)
- Materials Science (17)
- Mathematics (2)
- Mercury (2)
- Microelectronics (1)
- Molten Salt (1)
- Nanotechnology (7)
- National Security (6)
- Net Zero (2)
- Neutron Science (13)
- Nuclear Energy (5)
- Partnerships (7)
- Physics (4)
- Polymers (7)
- Quantum Computing (7)
- Quantum Science (14)
- Renewable Energy (1)
- Security (4)
- Simulation (11)
- Software (1)
- Space Exploration (1)
- Summit (22)
- Sustainable Energy (27)
- Transformational Challenge Reactor (2)
- Transportation (32)
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
![Arjun Shankar Arjun Shankar](/sites/default/files/styles/list_page_thumbnail/public/shankar.png?itok=qqOR_eUI)
The field of “Big Data” has exploded in the blink of an eye, growing exponentially into almost every branch of science in just a few decades. Sectors such as energy, manufacturing, healthcare and many others depend on scalable data processing and analysis for continued in...
![ORNL Image](/sites/default/files/styles/list_page_thumbnail/public/MattSallasCloseup.jpg?itok=iKfN8LeV)
While serving in Kandahar, Afghanistan, U.S. Navy construction mechanic Matthew Sallas may not have imagined where his experience would take him next. But researchers at Oak Ridge National Laboratory certainly had the future in mind as they were creating programs to train men and wome...
![ORNL-Lenvio_tech_license_signing_ceremony2 ORNL-Lenvio_tech_license_signing_ceremony2](/sites/default/files/styles/list_page_thumbnail/public/ORNL-Lenvio_tech_license_signing_ceremony2.jpg?itok=xcfN-PbJ)
Virginia-based Lenvio Inc. has exclusively licensed a cyber security technology from the Department of Energy’s Oak Ridge National Laboratory that can quickly detect malicious behavior in software not previously identified as a threat.