A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
Transformer language models provide state-of-the-art accuracy in a range of learning tasks, ranging from natural language processing to non-traditional applications such as molecular design.
As the mission space of NA-213 Office of Nuclear Detection and Deterrence continues to evolve away from traditional stationary monitoring at borders and ports, the need for a solution to maintain situational awareness is critical.
Researchers at the US Department of Energy’s Oak Ridge National Laboratory broke the exascale barrier, achieving a peak throughput of 1.88 exaops—faster than any previously reported science application—while analyzing genomic data on the recently launch
Researchers conduct unprecedented study on GPUs of damaging, high-frequency shaking When the last massive earthquake shook the San Andreas Fault in 1906—causing fires that burned down most of San Francisco and leaving half the city’s population homeless—
Petaflop computing simulates signaling in a receptor complex of 400,000 atoms Scientists want to manipulate cell behavior for a lot of reasons.
Eos, a Cray XC30 system has 744 nodes divided among four cabinets, is one of the OLCF's newest computing resources.
Simulations of freezing water can help engineers design better blades The amount of global electricity supplied by wind, the world’s fastest growing energy source, is expected to increase from 2.5 to as much as 12 percent by 2020.