Numpy/Scipy with Intel® MKL and Intel® Compilers

This guide is intended to help current NumPy/SciPy users to take advantage of Intel® Math Kernel Library (Intel® MKL).
Authored by Vipin Kumar E K (Intel) Last updated on 02/04/2016 - 21:50

Palestra: Como otimizar seu código sem ser um "ninja" em Computação Paralela

Não perca a palestra "Como otimizar seu código sem ser um "ninja" em Computação Paralela" da Intel que será ministrada durante a Semana sobre Programação Massivamente Paralela em Petrópolis, RJ, no Laboratório Nacional de Computação Científica. Data: 02/02/2016 - 11h30 Local: LNCC - Av. Getúlio Vargas, 333 - Quitandinha - Petrópolis/RJ
Authored by IGOR F. (Intel) Last updated on 01/28/2016 - 18:51

Scaling Internet of Things Data Movement with Amazon* Kinesis*: Solution Brief

Amazon* Kinesis* makes it easy to set up high-capacity pipes that can collect and distribute data in real time, at any scale – enabling fast movement of machine data from edge to cloud for consumpt

Authored by Nghia Nguyen (Intel) Last updated on 01/25/2016 - 12:32

Using Cloud9 Desktop as On-device Tool for Windows* 10 Intel® IoT Gateway: IoT Recipe

Cloud9 is a development environment on the cloud. It supports a wide range of programming languages such as Python, PHP, JavaScript, Go, and more.

Authored by Nghia Nguyen (Intel) Last updated on 01/25/2016 - 12:28

Connecting Sensor Networks and Devices to the Cloud in Just Minutes: Solution Brief

This article provides the steps to connect an Intel© IoT gateway to the IBM Bluemix* cloud service using Python and MQTT client library in just minutes.

Authored by Nghia Nguyen (Intel) Last updated on 01/25/2016 - 12:27

Indexing DICOM* Images on Cloudera Hadoop* Distribution

This paper show how to replicate the proof point, to index DICOM images for storage, management, and retrieval on a Cloudera Hadoop* cluster, using open source software components.
Authored by ABHI B. (Intel) Last updated on 01/12/2016 - 14:01

基于英特尔® 至强™ 处理器 E5 产品家族的多节点分布式内存系统上的 Caffe* 培训 | 英特尔® 开发人员专区

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center (BVLC) and one of the most popular community frameworks for image recognition. Caffe is often used as a benchmark together with AlexNet*, a neural network topology for image recognition, and ImageNet*, a database of labeled images.
Authored by Gennady Fedorov (Intel) Last updated on 01/04/2016 - 23:39

使用英特尔® XDK体验英特尔® 物联网开发套件

This article covers and expands upon the material from the Hands-on Lab Intel Internet of Things (IoT) Developer Kit SFTL005 presented at the Intel Developer Forum 2015 (IDF15) August 18–20, 2015 in San Francisco, California. This document helps developers learn how to connect the Intel® Edison platform to build an end-to-end IoT solution and describes related concepts that can be applied to...
Authored by NHUY L. (Intel) Last updated on 01/03/2016 - 22:42

Scaling Internet of Things Data Movement with Amazon* Kinesis*

Collect, cache, and distribute high-throughput, low-latency machine data coming from Intel® Gateway Solutions for the Internet of Things.

Authored by SHAWN M. (Intel) Last updated on 12/23/2015 - 12:00

Интернет вещей из Сибири

Приглашаем вас принять участие в конкурсном отборе идей IoT проектов.

Authored by svetlana-emelyanova (Intel) Last updated on 12/23/2015 - 09:19
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