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.” …
Every evolution in computing hardware brings with it big challenges for software developers. …
Even years after the global economies have pulled out of the Great Recession, the pressure is on IT departments the world over to do more with the same budget or less. …
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. …
The only number you need to remember about Intel’s Data Center Group business for the next three years is this one: 15 percent. …
This is not the first time that Big Blue has found itself the underdog in the datacenter, and it probably will not be the last time, either. …
When it comes to DNA analysis, large-scale pattern matching algorithms are constantly being refined to add a performance and efficiency boost to speed the time to result and accordingly, the practical implementation of fast analysis for more accurate, timely, personalized medical care and research. …
Despite the woes heaped onto investors in the past couple of weeks, the future is still out there, waiting to be created. …
The next generation, high speed, low latency fabric known as the Intel Omni-Path Architecture (OPA), made an informal debut in July at this year’s ISC conference in Frankfurt. …
The “Knights Landing” Xeon Phi processor from Intel will be shipping by the end of the year and ramping in volume through 2016, and it is set to shake up the systems market in a number of significant ways. …
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