Intel Fellow Outlines Bright Future for Deep Learning
“Machine learning connects supercomputing to consumers; its impact will be felt everywhere.” …
“Machine learning connects supercomputing to consumers; its impact will be felt everywhere.” …
If one were to look at the approximate results from various deep learning tasks; from image classification to speech recognition and beyond, the stand-by quote from Bayesian statistics that “probability is orderly opinion, and that inference from data is nothing other than the revision of such opinion in the light of relevant new information,” takes on added weight. …
There has been quite a lot of Docker momentum in the datacenter over the last year, and a strong companion effort to move containers into a wider range of user bases. …
If there is any phrase that describes Twitter, both from the infrastructure and end user points of view, it is real time. …
Deep learning algorithms have pushed image recognition and classification to new heights over the last few years, and those same approaches are now being moved into more complex image classification areas, including satellite imagery. …
An influx of new supercomputing capabilities are appearing throughout Europe due to the nearly 100 million Euro funding push from the Horizons 2020 program, an EU framework to support large-scale and exascale computing efforts. …
In the course of tracking commercial and research supercomputers here at The Next Platform, it has become apparent that this is the year for massive refreshes and updates to existing weather prediction systems. …
With around 94% of the market share for its Xeon machines, Intel is in quite a position to be forward looking and experimental, especially with one of its segments that embodies both of those descriptions—the supercomputing market. …
While the news of the last few years has clearly indicated that China is at the top of the world when it comes to chart-topping supercomputers, the storyline is evolving—and the picture for high performance computing in Asia is not as rosy as many believe. …
Although the performance and efficiency gain of using accelerators, including GPUs, can be quite staggering, programming for boosted systems still presents some challenges, despite the large amount of work over the years to streamline the process. …
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