![Debjani Singh](/sites/default/files/styles/featured_square_large/public/2024-08/2024-P12408.jpg?h=8f9cfe54&itok=bP5F6U4Y)
Filter News
Area of Research
News Topics
- 3-D Printing/Advanced Manufacturing (1)
- Artificial Intelligence (28)
- Big Data (1)
- Bioenergy (2)
- Biology (4)
- Biomedical (4)
- Chemical Sciences (2)
- Climate Change (2)
- Computer Science (16)
- Coronavirus (1)
- Decarbonization (1)
- Exascale Computing (2)
- Fossil Energy (1)
- Frontier (4)
- Grid (1)
- High-Performance Computing (5)
- Machine Learning (7)
- Materials Science (2)
- Mathematics (1)
- Microscopy (1)
- Nanotechnology (1)
- National Security (3)
- Net Zero (1)
- Neutron Science (2)
- Security (1)
- Simulation (1)
- Summit (3)
- Sustainable Energy (2)
- Transformational Challenge Reactor (1)
Media Contacts
![Prasanna Balaprakash](/sites/default/files/styles/list_page_thumbnail/public/2024-08/2023-P02525.jpg?h=502e75fa&itok=4dkxoqpK)
Prasanna Balaprakash, director of AI programs at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council.
![This photo is of a male scientist sitting at a desk working with materials, wearing protective glasses.](/sites/default/files/styles/list_page_thumbnail/public/2024-07/2023-P08173.jpg?h=c6980913&itok=Ed354_C-)
Researchers at the Department of Energy’s Oak Ridge National Laboratory and partner institutions have launched a project to develop an innovative suite of tools that will employ machine learning algorithms for more effective cybersecurity analysis of the U.S. power grid.
![Digital image of molecules would look like. There are 10 clusters of these shapes in grey, red and blue with a teal blue background](/sites/default/files/styles/list_page_thumbnail/public/2024-07/Picture6.jpg?h=7e1075cf&itok=YSLnbbso)
Oak Ridge National Laboratory scientists have developed a method leveraging artificial intelligence to accelerate the identification of environmentally friendly solvents for industrial carbon capture, biomass processing, rechargeable batteries and other applications.
![In this artist’s conception of the process, an automated deposition system places a new material onto a base material (purple beam, right) as the last sample that was made is analyzed and sent to the AI (green beams, brain, left). The AI tells the pulsed laser deposition machine what to do next (data cable, bottom).](/sites/default/files/styles/list_page_thumbnail/public/2024-06/Automated%20deposition%20system.jpg?h=c9c8f46f&itok=gWenM8Fy)
Today, scientific discovery is accelerated by automated experiments, artificial intelligence and high-performance computing. A novel tool developed at ORNL that leverages those technologies has demonstrated that AI can influence materials synthesis and conduct associated experiments without human supervision.
![Dr. Prasanna Balaprakash speaks at the Plenary session during the 2024 National Science Bowl®](/sites/default/files/styles/list_page_thumbnail/public/2024-06/53680508914_fabf0d01ce_c.jpg?h=c9f93661&itok=rPKP5eYu)
Prasanna Balaprakash, a national leader in artificial intelligence, or AI, spoke to some of the highest achieving students in the country at the National Science Bowl in Washington D.C.
![A team led by Oak Ridge National Laboratory researchers used Frontier to explore training strategies for one of the largest artificial intelligence models to date. Credit: Getty Images](/sites/default/files/styles/list_page_thumbnail/public/2024-05/OLCF_LLMstudy.jpg?h=ae114f5c&itok=x0_oxTc3)
A team led by researchers at ORNL explored training strategies for one of the largest artificial intelligence models to date with help from the world’s fastest supercomputer. The findings could help guide training for a new generation of AI models for scientific research.
![Caption: Participants gather for a group photo after discussing securing AI systems for critical national security data and applications. Photo by Liz Neunsinger/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2024-05/Picture1.jpg?h=1758acef&itok=hu9V4GaE)
Researchers at the Department of Energy’s Oak Ridge National Laboratory met recently at an AI Summit to better understand threats surrounding artificial intelligence. The event was part of ORNL’s mission to shape the future of safe and secure AI systems charged with our nation’s most precious data.
![The AI for Energy Report provides a framework for using AI to accelerate decarbonization of the U.S. economy. Credit: Argonne National Laboratory](/sites/default/files/styles/list_page_thumbnail/public/2024-05/CLS_AI-for-Energy-Workshop-Report_1600x900_shutterstock_209822020_R2.jpg?h=748c0655&itok=uYkfSuJp)
Groundbreaking report provides ambitious framework for accelerating clean energy deployment while minimizing risks and costs in the face of climate change.
Luke Bertels, a Eugene P. Wigner Fellow, is helping determine ways to combine artificial intelligence and quantum computing, specifically to develop classical and quantum machine learning methods for using adaptive neural networks to study correlated molecules and chemical systems.
![AI-driven attention mechanisms aid in streamlining cancer pathology reporting.](/sites/default/files/styles/list_page_thumbnail/public/2024-03/attention%20mechanism%20%282%29.jpg?h=3a7a7cb1&itok=_OJowEl4)
In partnership with the National Cancer Institute, researchers from the Department of Energy’s Oak Ridge National Laboratory’s Modeling Outcomes for Surveillance using Scalable Artificial Intelligence are building on their groundbreaking work to