Modern climate projections lack adequate spatial and temporal resolution...
Fourier Neural Operators (FNOs) have proven to be an efficient and effec...
Extreme weather amplified by climate change is causing increasingly
deva...
FourCastNet, short for Fourier Forecasting Neural Network, is a global
d...
Scientific communities are increasingly adopting machine learning and de...
The drug discovery process currently employed in the pharmaceutical indu...
Simulation of turbulent flows at high Reynolds number is a computational...
This paper presents a practical methodology for collecting performance d...
Deep learning applications are usually very compute-intensive and requir...
Uncertainty quantification for forward and inverse problems is a central...
We extract pixel-level masks of extreme weather patterns using variants ...
The fundamental particle theory called Quantum Chromodynamics (QCD) dict...
We explore scaling of the standard distributed Tensorflow with GRPC
prim...
There has been considerable recent activity applying deep convolutional
...
This paper presents the first, 15-PetaFLOP Deep Learning system for solv...