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Project Avatar – A gesture controlled fully immersive telepresence robotics system with Nao0

You are in a hurry or you just want to see a cool video showcasing a real-time telepresence robotics system which gives you an out-of-body experience without being interested in too many details of how it works? Have a look!

  • Tecnología Intel® RealSense™
  • Announcing the Intel® Distribution for Python* Release

    I am pleased to announce the first product release of Intel® Distribution for Python* powered by Anaconda*. Why is Intel making a python distribution? We want python users to get the productivity they are accustomed to without having to compromise on performance. Our customers told us that it was difficult to get a Python that could fully utilize the latest processors.

    Improve Performance with Vectorization

    This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.
  • Profesional
  • Estudiantes
  • Código moderno
  • Servidor
  • C/C++
  • Fortran
  • Intermedio
  • Intel® Cilk™ Plus
  • Intel® Advanced Vector Extensions (Intel® AVX)
  • Arquitectura Intel® para muchos núcleos integrados
  • Optimización
  • Computación en paralelo
  • Vectorización
  • Project Avatar: A Gesture-Controlled Fully Immersive Telepresence Robotics System with NAO*

    You are in a hurry or you just want to see a cool video showcasing a real-time telepresence robotics system which gives you an out-of-body experience without being interested in too many details of how it works? Have a look!

  • Tecnología Intel® RealSense™
  • Using Intel® Distribution for Python* with the Xeon Phi™ Coprocessor

    The Intel® Distribution for Python* mkl-mic package allows Automatic Offload (AO) of workloads to Intel® Xeon Phi™ Coprocessors.

    AO is currently only available on Linux* platforms.

    Follow these steps to enable AO:

  • Apple macOS*
  • Linux*
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 10
  • Microsoft Windows* 8.x
  • Python*
  • Using Intel® Data Analytics Acceleration Library on Matlab*

    Intel® Data Analytics Acceleration Library (Intel® DAAL) is high performance library, which provides a rich set of algorithms, ranging from the most basic descriptive statistics for datasets to more advanced data mining and machine learning algorithms. It can help developer develop highly optimized big data algorithm with relatively little effort. It’s designed for use with popular data platforms including Hadoop*, Spark*, R, and Matlab*.

  • Inteligencia artificial
  • C/C++
  • Avanzado
  • Intermedio
  • Intel® Data Analytics Acceleration Library (Intel® DAAL)
  • Intel® Streaming SIMD Extensions
  • Herramientas de desarrollo
  • Aprendizaje mecánico
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