SFU has award-winning research faculty whose interests lie in the interplay between scientific computing, approximation theory, machine learning, the analysis of partial differential equations (PDE) ...

But in a unique computing competition ending this month, researchers hope to shrink the gap between machine and child—and in doing so, help to reduce the computing power needed to train AIs.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation ...

D-Wave's Murray Thom shared his company's quantum computing applications: about 50% optimization, 20% AI and ML, 10% materials science, and 20% other.

Machine Learning Reply entered the competition with the submission of a solution for the "Aircraft Loading Optimisation" problem, and was awarded for having developed an algorithm, realized using ...

PRD #5 is the subject of this topic: Machine learning-enhanced modeling and simulation for predictive scientific computing. Scientific computing within the DOE traditionally has been dominated by ...

The study deploys machine learning models that are trained to monitor and predict the behavior of a scientific computing cluster. ... Competition-based AI study aims to lower data center costs.

CosmoFlow, a collaboration between Intel and Hewlett Packard Enterprise's Cray unit, and Department of Energy's National Energy Research Scientific Computing Center, or NERSC, uses a three ...

And Monteleoni has developed machine-learning algorithms to create weighted averages of the roughly 30 climate models used by the Intergovernmental Panel on Climate Change.

September 11, 2020 Army Brain Operant Learning Technology competition accepting applications until Oct. 16 May 31, 2019 Department of the Army announces upcoming III Corps Headquarters deployment ...

It was fun, and several teams were neck-and-neck until the end. I learned a lot about how to tune machine-learning algorithms. There are a lot of little ‘knobs’ you can tweak to get that extra 1 ...

By 2030, data science is expected to permeate every industry. As businesses pivot towards data-driven strategies, the demand for skilled professionals will grow exponentially.