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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:

Using OpenCL™ 2.0 Read-Write Images

While Image convolution is not as effective with the new Read-Write images functionality, any image processing technique that needs be done in place may benefit from the Read-Write images. One example of a process that could be used effectively is image composition. In OpenCL 1.2 and earlier, images were qualified with the “__read_only” and __write_only” qualifiers. In the OpenCL 2.0, images can be qualified with a “__read_write” qualifier, and copy the output to the input buffer. This reduces the number of resources that are needed.
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  • OpenCL*
  • Coding OpenCL
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  • Processador Intel® Atom™
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  • - 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.

    Detection of Uninitialized Floating-point Variables in Intel® Fortran

    Reading from a variable before it has been written to can result in application errors that are not reproducible and can be difficult to debug, especially for global variables and variables passed as procedure arguments. The Intel® Fortran Compiler version 16 can detect accesses to a wide variety of uninitialized floating-point variables. (The feature is also available in the version 15 compiler, but only for static variables). This is achieved by initializing such floating-point data to a signaling NaN and then trapping the floating-point invalid exception that occurs if the data are used in a floating-point operation before they have been assigned a value by the application.
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  • Intel® Parallel Studio XE
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  • 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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  • Intel® Data Analytics Acceleration Library (Intel® DAAL)
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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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  • 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)
  • Intel DAAL
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  • Ferramentas de desenvolvimento
  • A Walk-Through of Online 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. Intel DAAL supports three processing modes, batch processing, online processing, and distributed processing. Online processing, a.k.a. streaming, is applicable when data is processed in blocks. This can be helpful if the entire dataset is too big to fit in memory all at once; or if the data is only available piecemeal.
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  • Intel® Data Analytics Acceleration Library (Intel® DAAL)
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  • Participe do Concurso INOVApps 2015 promovido pelo Ministério das Comunicações!

    Parceiros Intel, segue abaixo mais uma oportunidade para apresentarem suas soluções!  

    O Ministério das Comunicações lançou no dia 14/07, a segunda edição do Concurso INOVApps que tem como objetivo apoiar o desenvolvimento de aplicativos de interesse público para dispositivos móveis e TVs digitais conectadas.

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