
How Intel’s Data Approach is Driven from the Inside Out
Over the last few years, every major technology company has made a grand movement to embrace data in much the same way they did in the mid-2000s with cloud. …
Over the last few years, every major technology company has made a grand movement to embrace data in much the same way they did in the mid-2000s with cloud. …
“Machine learning connects supercomputing to consumers; its impact will be felt everywhere.” …
Document databases are an integral part of the application stack, but they often have scalability issues and they tend to end up off to the side of the Hadoop systems that are increasingly being used as a the repository of record for all kinds of data. …
The Spark in-memory processing framework that came out of the AMPLab at the University of California at Berkeley is hotter than hot. …
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. …
If Google knows a lot about one thing, it is that developers do not want to spend a lot of time setting up infrastructure just so they can create applications that chew on lots of data to run the business. …
When Microsoft says that it is embracing Linux as a peer to Windows, it is not kidding. …
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. …
There was something ironic about meeting Mike Curtis, the vice president of engineering at Airbnb, in a hotel in lower Manhattan. …
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