Filter News
Area of Research
- (-) Computer Science (7)
- (-) National Security (17)
- Advanced Manufacturing (7)
- Biology and Environment (16)
- Clean Energy (36)
- Computational Biology (1)
- Computational Engineering (2)
- Fuel Cycle Science and Technology (1)
- Fusion and Fission (14)
- Fusion Energy (8)
- Isotope Development and Production (1)
- Isotopes (4)
- Materials (68)
- Materials Characterization (1)
- Materials for Computing (11)
- Materials Under Extremes (1)
- Neutron Science (28)
- Nuclear Science and Technology (20)
- Nuclear Systems Modeling, Simulation and Validation (2)
- Quantum information Science (4)
- Supercomputing (39)
- Transportation Systems (1)
News Type
News Topics
- (-) Advanced Reactors (1)
- (-) Biomedical (1)
- (-) Cybersecurity (11)
- (-) Machine Learning (7)
- (-) Materials Science (2)
- (-) Nuclear Energy (2)
- (-) Quantum Science (3)
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (10)
- Big Data (5)
- Bioenergy (1)
- Biology (2)
- Buildings (1)
- Chemical Sciences (2)
- Climate Change (1)
- Computer Science (21)
- Coronavirus (1)
- Energy Storage (3)
- Environment (3)
- Exascale Computing (1)
- Frontier (1)
- Fusion (1)
- Grid (4)
- High-Performance Computing (2)
- Materials (1)
- National Security (11)
- Neutron Science (2)
- Partnerships (4)
- Physics (1)
- Security (6)
- Summit (1)
- Sustainable Energy (3)
- Transportation (2)
Media Contacts
IDEMIA Identity & Security USA has licensed an advanced optical array developed at Oak Ridge National Laboratory. The portable technology can be used to help identify individuals in challenging outdoor conditions.
Oak Ridge National Laboratory is training next-generation cameras called dynamic vision sensors, or DVS, to interpret live information—a capability that has applications in robotics and could improve autonomous vehicle sensing.
Researchers at Oak Ridge National Laboratory are taking inspiration from neural networks to create computers that mimic the human brain—a quickly growing field known as neuromorphic computing.
A study led by Oak Ridge National Laboratory explored the interface between the Department of Veterans Affairs’ healthcare data system and the data itself to detect the likelihood of errors and designed an auto-surveillance tool