In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone. The ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

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Like Apple once did with Xcode and Xgrid, it wants to leverage all the processors you have across your Mac, iPhone, and iPad and make them work together for you when you need more processing power.

Stream processing systems are pivotal to modern data-driven environments, enabling the continual ingestion, processing and analysis of unbounded data streams across distributed computing resources.

If you've ever gotten a more spacious closet, a larger desk, or even a bigger house, you've probably been surprised at how quickly it fills up and no longer seems quite big enough. Business computers ...