Filter News
Area of Research
- (-) Supercomputing (21)
- Advanced Manufacturing (7)
- Biology and Environment (13)
- Clean Energy (53)
- Computer Science (1)
- Energy Frontier Research Centers (1)
- Fusion and Fission (4)
- Fusion Energy (1)
- Materials (36)
- Materials for Computing (5)
- National Security (10)
- Neutron Science (11)
- Nuclear Science and Technology (3)
News Topics
- (-) 3-D Printing/Advanced Manufacturing (3)
- (-) Artificial Intelligence (12)
- (-) Grid (3)
- (-) Nanotechnology (5)
- (-) Transportation (2)
- Big Data (1)
- Bioenergy (6)
- Biology (4)
- Biomedical (5)
- Biotechnology (1)
- Buildings (1)
- Chemical Sciences (3)
- Climate Change (3)
- Computer Science (31)
- Coronavirus (5)
- Cybersecurity (6)
- Decarbonization (1)
- Energy Storage (5)
- Environment (3)
- Exascale Computing (7)
- Frontier (12)
- High-Performance Computing (11)
- Isotopes (1)
- Machine Learning (5)
- Materials (8)
- Materials Science (6)
- Microscopy (5)
- Molten Salt (1)
- National Security (5)
- Neutron Science (7)
- Nuclear Energy (1)
- Partnerships (1)
- Physics (4)
- Quantum Computing (5)
- Quantum Science (10)
- Security (4)
- Simulation (1)
- Space Exploration (1)
- Summit (14)
- Sustainable Energy (5)
Media Contacts
ORNL has joined a global consortium of scientists from federal laboratories, research institutes, academia and industry to address the challenges of building large-scale artificial intelligence systems and advancing trustworthy and reliable AI for
Scientists at ORNL used their expertise in quantum biology, artificial intelligence and bioengineering to improve how CRISPR Cas9 genome editing tools work on organisms like microbes that can be modified to produce renewable fuels and chemicals.
The Department of Energy’s Oak Ridge National Laboratory announced the establishment of the Center for AI Security Research, or CAISER, to address threats already present as governments and industries around the world adopt artificial intelligence and take advantage of the benefits it promises in data processing, operational efficiencies and decision-making.
A new nanoscience study led by a researcher at ORNL takes a big-picture look at how scientists study materials at the smallest scales.
Innovations in artificial intelligence are rapidly shaping our world, from virtual assistants and chatbots to self-driving cars and automated manufacturing.
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.
When Hurricane Maria battered Puerto Rico in 2017, winds snapped trees and destroyed homes, while heavy rains transformed streets into rivers. But after the storm passed, the human toll continued to grow as residents struggled without electricity for months. Five years later, power outages remain long and frequent.
The Frontier supercomputer at the Department of Energy’s Oak Ridge National Laboratory earned the top ranking today as the world’s fastest on the 59th TOP500 list, with 1.1 exaflops of performance. The system is the first to achieve an unprecedented level of computing performance known as exascale, a threshold of a quintillion calculations per second.
Researchers at ORNL are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
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.