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NEW Intel® Iris™, Iris™ Pro, and HD Graphics Production Driver for Windows* 10 64-bit 15.40.4.64.4256

This driver adds support for the new Microsoft Windows* 10 64-bit operating system for Intel® 5th Generation Intel® Core Processors and 4th Generation Intel® Core Processors with Intel® HD Graphics and Iris™ Graphics. This new driver also supports various Windows* 10 features. Please see Release Notes for a record of the below information.

Step by Step guide to build iOS apps using UI builder of Intel's Multi-OS Engine

This article specifically talks about the UI Builder. Multi-OS Engine provides its own UI builder to build iOS apps which is similar to Android layout to build but has view objects similar to that of iOS. In this tutorial I am going to build a simple Quiz application for iOS using Multi-OS Engine and its UI builder.
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  • Meshcentral - Sprinxle Cloud

    Sprinxle is a company based in California that offers Intel AMT management solution and services. Recently, they added Sprinxle Cloud to their product line up. Sprinxle Cloud is a commercially supported version of Meshcentral. Late last year, they started taking the open source software and making the proper changes to it so they could offer it as a supported product. They offer e-mail and phone support along with many other services.

    Compilación de bibliotecas de middleware Android* para dispositivos x86 con el uso del NDK para Android

    Hay muchas bibliotecas de middleware con las cuales los desarrolladores están creando fabulosas aplicaciones para Android. Si una aplicación se publicó hace un tiempo en Google* Play, es probable que la biblioteca en ese entonces solo admitiera dispositivos ARM. Las aplicaciones pueden llegar a un público mucho más numeroso si se les agrega compatibilidad nativa con x86. Al compilar para x86, se obtiene el mejor rendimiento y la mejor experiencia de usuario en dispositivos Android x86, y no se pierde la compatibilidad con ARM.

    Un vistazo rápido a la emulación de Android acelerada por hardware, con el uso del Supervisor de Ejecución Acelerada por Hardware de Intel® (Intel® HAXM)

    A look at the advantages of using Intel(R) HAXM for Android Emulation. HAXM speeds up Android app emulation on a host development machine and is available as a feature of Intel(R) INDE or as a standalone release.

    Intel® RealSense™ Hands On Labs Highlights

    Intel® RealSense™ technology takes perceptual computing to the next level by understanding sensory input and movement-supported platforms. The revolutionary RealSense™ Camera lets you interact with your device more like you interact with people—with natural movements using depth-sensing technology so your PC sees more like you do. (22 Tracking points per Hand) You can use the added dimension to scan 3D objects, control your PC with gestures, or create a more lifelike video chat environment. Reinvented video chat lets you customize your background, and share content with friends as if you're in the same room together. In order to help local developers discover the RealSense Technology and guide them through the first steps to start a Project, We organized a series of RealSense Hands On Labs Events executed in different countries:

    - NEW- Intel® Iris™, Iris™ Pro, and HD Graphics Driver update posted for Haswell and Broadwell version 15.36.23.4251

    An excerpt from the Release Notes for Intel® Iris™, Iris™ Pro, and HD Graphics Driver update posted for Haswell and Broadwell version 15.36.23.4251 including new features.

    A Tutorial on the Java API of Intel® Data Analytics Acceleration Library

    Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL Java examples included in the package.
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  • A Tutorial on the C++ API of Intel® Data Analytics Acceleration Library

    Intel® DAAL is a part of Intel® Parallel Studio XE 2016, a developer toolkit for HPC and technical computing applications. Intel® DAAL is a powerful library for big data developers that turns large data clusters into meaningful information with advanced analytics algorithms. In this tutorial, we will see how to build and run Intel® DAAL C++ examples included in the package.
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  • Microsoft Windows* (XP, Vista, 7)
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  • Intel® Data Analytics Acceleration Library (Intel® DAAL)
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  • A Walk-Through of Distributed Processing Using Intel® DAAL

    Intel® Data Analytics Acceleration Library (Intel® DAAL) is a new highly optimized library targeting data mining, statistical analysis, and machine learning applications. It provides advanced building blocks supporting all data analysis stages (preprocessing, transformation, analysis, modeling, decision making) for offline, streaming and distributed analytics usages. Intel DAAL support distributed data analytics based on variety of cluster platform including MPI* based cluster environments, Hadoop*/Spark* based cluster environments, low level data exchange protocols, etc.
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  • Intel® Data Analytics Acceleration Library (Intel® DAAL)
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