Filter News
Area of Research
- (-) Neutron Science (8)
- (-) Supercomputing (27)
- Advanced Manufacturing (1)
- Biology and Environment (46)
- Clean Energy (49)
- Climate and Environmental Systems (1)
- Computer Science (2)
- Electricity and Smart Grid (1)
- Functional Materials for Energy (1)
- Fusion and Fission (5)
- Fusion Energy (1)
- Isotopes (15)
- Materials (23)
- Materials for Computing (3)
- National Security (14)
- Nuclear Science and Technology (7)
- Sensors and Controls (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Artificial Intelligence (15)
- (-) Climate Change (5)
- (-) Decarbonization (3)
- (-) Environment (9)
- (-) Isotopes (1)
- (-) Security (4)
- 3-D Printing/Advanced Manufacturing (6)
- Big Data (4)
- Bioenergy (7)
- Biology (7)
- Biomedical (9)
- Biotechnology (1)
- Buildings (2)
- Chemical Sciences (3)
- Composites (1)
- Computer Science (37)
- Coronavirus (8)
- Cybersecurity (7)
- Energy Storage (8)
- Exascale Computing (11)
- Frontier (16)
- Fusion (1)
- Grid (4)
- High-Performance Computing (20)
- Machine Learning (6)
- Materials (16)
- Materials Science (16)
- Microscopy (5)
- Molten Salt (1)
- Nanotechnology (11)
- National Security (5)
- Neutron Science (48)
- Nuclear Energy (3)
- Partnerships (1)
- Physics (11)
- Quantum Computing (5)
- Quantum Science (15)
- Simulation (5)
- Software (1)
- Space Exploration (1)
- Summit (15)
- Sustainable Energy (7)
- Transportation (4)
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...