Convergence Coming for Supercomputing, Machine Learning
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
“Machine learning connects supercomputing to consumers; its impact will be felt everywhere.” …
A lead deep learning expert at Microsoft Research thinks the low-hanging fruit for progress in deep neural networks has been picked and that for the next couple of years, refinement of neural networks and deep learning algorithms will be isolated and incremental. …
If complex artificial intelligence applications could easily be run on the fly across hundreds of thousands of compute cores around the world–and at a cost that significantly undercuts the top public cloud providers–a new world of potential uses and new applications will certainly flourish. …
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