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game design

Game Design with Intel Tools Part 2: Parallelizing A* Algorithm

This blog is the second in a four-part series in which the Intel software development tools are used to develop a game. The first blog in the series uses Intel Performance Primitives (IPP) to perform image processing for the game’s splash screen. The first article can be found here. The …

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deep learning ai

Models, Frameworks Accelerate Deep Learning for Enterprise Big Data

Deep Learning is the cutting edge of AI, but proven data and deployment models and available frameworks make it a solid practical choice for advanced analytics Deep learning techniques are advancing artificial-intelligence based analytics far enough that a team of researchers at MIT has succeeded in getting a computer to …

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game design

Creating Games Using Intel Tools, Part 1: Starting With Splash Screens

New visualization tools and libraries can simplify the creation of games, and support the gamification of IT. In this four-blog you’ll see how a game is creates from start to finish   Intel has tools that can help create sizzling games. This blog is the first in a series of …

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PyDAAL installation

Getting Started with PyDAAL on Linux

Data mining and machine learning are just two of the in-high-demand functions that PyDAAL can ease coding for. Read this blog by David Bolton to learn how to get started. The package PyDAAL is Intel’s Data Analytics Acceleration Library (DAAL) for python and provides interfaces to it. DAAL provides building …

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Here’s What’s New in Python 3.6

Late December release offers host of new features Now in its 25th year, there should be a new release ( Python 3.6 ) shortly after you read this, just five months since 3.5.2 was released. Python releases are planned and executed over a period of usually about a year or …

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Screaming Fast Analytics with Intel Performance Libraries

Taming the Data Deluge with high-level algorithms and low-level primitives Machine Learning and Big Data demand powerful tools to tame the data beast. Intel has created two libraries, the Math Kernel Library (MKL) and Data Analytics Acceleration Library (DAAL) to serve most every developer’s need. Watch this brief video to …

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reinders

Threading Building Blocks (TBB) at 10: Intel’s James Reinders

What is the impact of Intel’s Threaded Building Blocks for Multiprocessing? Listen to this interview with James Reinders to recap 10 years of TBB Author and parallel computing James Reinders recently retired after a brilliant 25 year career at Intel.  Just prior to his retirement, James sat down with Intersect …

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Functional Programming in Python – Tutorial Video Shows How

Video tutorial puts Python through some of its functional paces In this companion to his recent blog, Slashdot Media Contributing Editor David Bolton demonstrates how Python can be used for functional tasks including iterators, list comprehension and generators. You can see David’s companion blog article here!

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r402

Getting Started with the R Language – Part 4

This is the fourth part in a series about getting started with the R language. It is a beautiful language for loading, manipulating, and dealing with data. In the last blog (link here) I talked about loading data from .CSV and tab delimited files. In this blog we will take …

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Functional Programming in Python

Python is not a strict functional programming (fp) language in the sense that say Haskell is. Python includes functional programming though as well as object-oriented and imperative (aka procedural). But it’s the functional programming aspects that I’ll be looking at here. What is Functional Programming? There are several facets to …

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