News Releases

Scientists at the Department of Energy’s Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75 percent less memory to analyze plant imaging data. The advance removes a major computational bottleneck and accelerates AI-guided discoveries for the development of high-performing crops.

After more than 25 years of experience in condensed matter physics, as a student, researcher and in high-ranking executive roles at neutron scattering sources around the globe, Jon Taylor brings a wealth of experience and accomplishments to his new position as Associate Laboratory Director for the Neutron Sciences Directorate (NScD) at the Department of Energy’s Oak Ridge National Laboratory.  

The Department of Energy’s Oak Ridge National Laboratory (ORNL), Type One Energy and the University of Tennessee, Knoxville (UT), are partnering to establish a world-class high-heat flux (HHF) facility to evaluate how materials react under extreme conditions in a fusion device. The HHF facility will accelerate the development of plasma-facing components (PFCs), which experience the harshest operational conditions in fusion energy devices, and enable both private and public entities to qualify and validate the materials used in fusion pilot plant designs.

A paper published in Nature Communications shows how AI at Sandia National Laboratories is advancing beyond a mere automation tool toward becoming a powerful engine for clear, comprehensible scientific discovery.

Shaun Gleason, director of the Partnerships Office at the Department of Energy’s Oak Ridge National Laboratory, has been appointed to Tennessee’s Artificial Intelligence Advisory Council. Council members are appointed by the governor and provide a collaborative source of knowledge, expertise and information sharing to advance the state’s use of AI technologies.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.