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An Introduction to the Intel® IoT Developer Kit

Hardware sensors and actuators are the eyes and ears of technology: temperature, location, vibration, rotation, etc. Without sensors and actuators, there is no IoT.

作者: Joseph B. (Intel) 最后更新时间: 2019/03/21 - 08:20
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Intel® Big Data & Analytics Software Overview

This video animation provides an overview of Intel® Software contributions to Big Data & Analytics.

作者: 管理 最后更新时间: 2017/06/14 - 08:53
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Boost Python* Performance with Intel® Math Kernel Library (Intel® MKL)


作者: 管理 最后更新时间: 2019/06/10 - 09:40
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英特尔® 物联网开发人员套件简介

硬件传感器和致动器相当于技术的眼睛和耳朵:温度、位置、振动、旋转等。没有传感器和致动器,物联网将不复存在。 英特尔® 物联网开发套件是一整套软硬件工具,可帮助您使用传感器硬件技术创建创新、炫酷的项目。 开发人员套件经过构建,可支持您选择第一代或第二代英特尔® Galileo,或英特尔® Edison 开发板等硬件组件。

作者: IDZSupport K. 最后更新时间: 2019/03/21 - 08:20
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A Performance Analysis of Python* Applications with Intel® VTune™ Amplifier

Efficient profiling techniques can help dramatically improving the performance of your Python* code by detecting time, CPU, and memory bottlenecks.

作者: 管理 最后更新时间: 2018/02/12 - 15:55
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Knights Landing – An Overview for Developers

In this webinar, James Reinders, will cover the essential knowledge needed for effectively utilizing the extraordinary parallelism in the new Intel® Xeon Phi™ processor (code named Knights Landing)

作者: 管理 最后更新时间: 2019/03/21 - 12:08
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Intel® Distribution for Python*

Sergey shows how Intel® Distribution for Python* helps overcome the challenges of programming with Python by providing out-of-the-box usability and performance that scales.

作者: Sergey Maidanov (Intel) 最后更新时间: 2018/12/12 - 18:00
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What's New in Intel® Parallel Studio XE 2017

Reach new heights with the new Intel® Parallel Studio XE.

作者: 管理 最后更新时间: 2018/02/12 - 16:01
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Remove Python* Performance Barriers for Machine Learning

Online content and service providers like Netflix and Amazon have popularized the use of recommendation platforms/engines, that predict a user’s preferences based on historical ratings, collective

作者: 管理 最后更新时间: 2018/02/13 - 09:24
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Webinar: Deep Learning 101

Deep neural networks are capable of amazing levels of representation power resulting in state-of-the-art accuracy in areas such as computer vision, speech recognition, natural language processing,

作者: Andres Rodriguez (Intel) 最后更新时间: 2018/10/24 - 15:36