Filter News
Area of Research
News Type
News Topics
- (-) Exascale Computing (2)
- (-) Mathematics (1)
- 3-D Printing/Advanced Manufacturing (3)
- Advanced Reactors (2)
- Artificial Intelligence (5)
- Big Data (3)
- Biology (1)
- Biomedical (1)
- Buildings (2)
- Computer Science (10)
- Cybersecurity (1)
- Energy Storage (1)
- Grid (2)
- High-Performance Computing (6)
- Machine Learning (3)
- Materials Science (1)
- Microscopy (1)
- National Security (2)
- Neutron Science (1)
- Nuclear Energy (3)
- Quantum Computing (2)
- Quantum Science (2)
- Simulation (1)
- Software (1)
- Space Exploration (1)
- Summit (4)
- Transportation (2)
Media Contacts

In the age of easy access to generative AI software, user can take steps to stay safe. Suhas Sreehari, an applied mathematician, identifies misconceptions of generative AI that could lead to unintentionally bad outcomes for a user.

The Exascale Small Modular Reactor effort, or ExaSMR, is a software stack developed over seven years under the Department of Energy’s Exascale Computing Project to produce the highest-resolution simulations of nuclear reactor systems to date. Now, ExaSMR has been nominated for a 2023 Gordon Bell Prize by the Association for Computing Machinery and is one of six finalists for the annual award, which honors outstanding achievements in high-performance computing from a variety of scientific domains.

A force within the supercomputing community, Jack Dongarra developed software packages that became standard in the industry, allowing high-performance computers to become increasingly more powerful in recent decades.