With more vehicles in use worldwide than ever before, engine makers are competing to deliver cleaner, more efficient engines at affordable prices.
Filter News
Area of Research
News Type
See also: Artificial intelligence is about to revolutionize science AI: An experimentalist's experience Scaling deep learning for science Why Summit is suited for artificial intelligence Infographic: Solving big problems with artificial intelligence ...
This article is part of a series of stories covering the finalists for the 2018 Gordon Bell Prize that used the Summit supercomputer.
Deep neural networks—a form of artificial intelligence used in everything from speech recognition to image identification to self-driving cars—have demonstrated mastery of tasks once thought uniquely human.
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
A cross-disciplinary research team at Oak Ridge National Laboratory is using supercomputing to create an unprecedented view of the 3D interactions among components of the cellular machinery in Populus trichocarpa (black cottonwood), a fast-growing
There’s a good reason research institutions keep pushing for faster supercomputers: They allow the researchers to develop more realistic simulations than slower machines.
Summit won’t be open to users for another three years, but let’s not forget that ORNL already has the world’s second-fastest computer—the 27 petaflop Titan.
To help researchers make the most of Summit from day one, the Center for Accelerated Application Readiness brings application developers together with experts from the Oak Ridge Leadership Computing Facility and hardware makers IBM and NVIDIA.
Related:
Summit will take computing to new heights
Titan has a very good year
Early Summit projects
...