Filter News
Area of Research
- (-) Supercomputing (17)
- Biology and Environment (18)
- Building Technologies (1)
- Clean Energy (11)
- Computer Science (1)
- Energy Sciences (1)
- Fusion and Fission (2)
- Fusion Energy (1)
- Isotopes (2)
- Materials (7)
- National Security (10)
- Neutron Science (6)
- Nuclear Science and Technology (4)
- Sensors and Controls (1)
News Topics
- (-) Artificial Intelligence (15)
- (-) Big Data (3)
- (-) Biomedical (2)
- (-) Security (1)
- (-) Sustainable Energy (1)
- Bioenergy (2)
- Biology (4)
- Biotechnology (2)
- Chemical Sciences (1)
- Climate Change (9)
- Computer Science (16)
- Coronavirus (1)
- Critical Materials (2)
- Cybersecurity (1)
- Decarbonization (2)
- Energy Storage (1)
- Environment (5)
- Exascale Computing (12)
- Frontier (15)
- High-Performance Computing (18)
- Machine Learning (4)
- Materials (5)
- Microscopy (1)
- Nanotechnology (2)
- National Security (3)
- Net Zero (1)
- Neutron Science (1)
- Nuclear Energy (1)
- Physics (2)
- Polymers (1)
- Quantum Computing (7)
- Quantum Science (5)
- Simulation (9)
- Software (1)
- Summit (8)
- Transportation (2)
Media Contacts
ORNL hosted its fourth Artificial Intelligence for Robust Engineering and Science, or AIRES, workshop from April 18-20. Over 100 attendees from government, academia and industry convened to identify research challenges and investment areas, carving the future of the discipline.
Wildfires have shaped the environment for millennia, but they are increasing in frequency, range and intensity in response to a hotter climate. The phenomenon is being incorporated into high-resolution simulations of the Earth’s climate by scientists at the Department of Energy’s Oak Ridge National Laboratory, with a mission to better understand and predict environmental change.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
A study led by researchers at ORNL could uncover new ways to produce more powerful, longer-lasting batteries and memory devices.
Researchers at ORNL have developed a machine-learning inspired software package that provides end-to-end image analysis of electron and scanning probe microscopy images.
A team of researchers from ORNL was recognized by the National Cancer Institute in March for their unique contributions in the fight against cancer.
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