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.

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) ...

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 ...

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.

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 ...

The United States and China are investing the most into research and development into exascale computing systems promise to be 50 times faster than some of the most powerful supercomputers ...

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.

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 Chinese search engine Baidu was found to have cheated in a computer science competition. AI ‘cheating’ scandal makes machine learning sound like a sport – it isn’t Home ...

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.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.