Filter News
Area of Research
News Topics
- (-) Computer Science (36)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (2)
- Artificial Intelligence (26)
- Big Data (32)
- Bioenergy (5)
- Biology (6)
- Biomedical (7)
- Biotechnology (3)
- Buildings (3)
- Chemical Sciences (2)
- Clean Water (3)
- Coronavirus (2)
- Cybersecurity (3)
- Emergency (1)
- Energy Storage (1)
- Environment (27)
- Exascale Computing (8)
- Frontier (8)
- Fusion (2)
- Grid (6)
- High-Performance Computing (15)
- Hydropower (2)
- Isotopes (1)
- ITER (1)
- Machine Learning (13)
- Materials Science (6)
- Mathematics (2)
- Microscopy (2)
- Molten Salt (1)
- Nanotechnology (4)
- National Security (24)
- Neutron Science (2)
- Nuclear Energy (3)
- Physics (4)
- Quantum Science (1)
- Security (4)
- Simulation (6)
- Space Exploration (1)
- Statistics (2)
- Summit (10)
- Transportation (5)
Media Contacts

OAK RIDGE, Tenn., March 4, 2019—A team of researchers from the Department of Energy’s Oak Ridge National Laboratory Health Data Sciences Institute have harnessed the power of artificial intelligence to better match cancer patients with clinical trials.

At the Department of Energy’s Oak Ridge National Laboratory, Olufemi “Femi” Omitaomu is leveraging Big Data for urban resilience, helping growing cities support future infrastructure and resource needs. A senior research scientist for ORNL’s Computational Sciences and Engineeri...

Geospatial scientists at Oak Ridge National Laboratory have developed a novel method to quickly gather building structure datasets that support emergency response teams assessing properties damaged by Hurricanes Harvey and Irma. By coupling deep learning with high-performance comp...

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...

A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis. The Advances in Machine Learning to Improve Scient...

ORNL helps develop hybrid computational strategy for efficient sequencing of massive genome datasets
Computing experts at the Department of Energy’s Oak Ridge National Laboratory collaborated with a team of university researchers and software companies to develop a novel hybrid computational strategy to efficiently discover genetic variants