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Ускоряйте разработку решений для Интернета вещей с помощью комплекта Squared* Grove* IoT Development Kit. Узнайте, что готовится к выпуску в 2018 году из видео группы Intel® Software.

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НОВЕЙШИЕ ВИДЕО

Результаты поиска: 913

Kitware* Delivers Realistic Visualization for HPC Data

Последнее обновление: 16 января 2018 г.Время видео: 2 мин.

HPC visualization from Kitware* and Intel increases understanding of complex data sets

VR UX | Physical Foundations

Последнее обновление: 16 января 2018 г.Время видео: 2 мин.

In this episode of VR UX learn how you can increase a user’s comfort, safety, and immersion in your environment by setting up a physical foundation.

Intel® QuickAssist Technology: Virtualization

Последнее обновление: 11 января 2018 г.Время видео: 8 мин.

Learn how to use virtualization with Intel® QuickAssist Technology Software.

VR UX | An Introduction

Последнее обновление: 9 января 2018 г.Время видео: 1 мин.

Introducing VR UX,  a weekly mini-series that gives you insight into some of the best practices for creating immersive, and enjoyable experiences for the users of your VR game, or application!

Accelerating AI from the Cloud to the Edge

Последнее обновление: 5 января 2018 г.Время видео: 1 ч.

Learn how Intel can help you develop applications & solutions for the next big technology wave.

Introduction to Virtual Reality Webinar

Последнее обновление: 4 января 2018 г.Время видео: 1 ч. 21 мин.

You may find the below information useful: Virtual Reality Overview, Getting Started with VR, How to Bring Steam*VR into Unity*, Virtual Reality User Experience Tips from VRMonkey*.

AI News | January 2018

Последнее обновление: 4 января 2018 г.Время видео: 1 мин.

WELCOME TO 2018! In this episode you'll see the world’s first neural network processor, get a look at a new deep learning edge solution, and we explore Unity Technologies’ ML-Agents exclusively on Intel Architecture!

Visions of Clouds: Computer Vision Demo

Последнее обновление: 26 декабря 2017 г.Время видео: 4 мин.

In this video see a demo of computer vision on the edge and in the cloud. We will go over some code and show the power of a hybrid edge/cloud computer vision system.

Intel® IoT Developer Show December 2017

Последнее обновление: 25 декабря 2017 г.Время видео: 3 мин.

This episode of the IoT Developer Show looks at the out-of-the-box experience with the new Up Squared Grove IoT Development Kit. Joe Butler walks us through the simple steps to getting started with the kit, and we also point you to where you can learn about the new release of Intel® System Studio 2018!

Intel® Graphics Performance Analyzers 2017 R4 Release

Последнее обновление: 21 декабря 2017 г.Время видео: 1 мин.

Intel® Graphics Performance Analyzers (Intel® GPA) provides tools for graphics analysis and optimization that can help you make games and other graphics-intensive applications run even faster. The tools support the platforms based on the latest generations of Intel Core™ and Intel Atom™ processor families, for applications developed for Windows*, Android*, or Ubuntu* OS.

In this release, we have added Windows Mixed Reality profiling support, added a beta feature for profiling DirectX* 11 games with the new Graphics Frame Analyzer interface, and added a new profiling feature called Hotspot Analysis mode.

Get Started with Intel® System Studio Samples

Последнее обновление: 20 декабря 2017 г.Время видео: 5 мин.

Create a project using one of the provided IoT samples using Intel® System Studio 2018.

Machine Learning with Google Cloud Platform* Service and Intel® IoT Gateway

Последнее обновление: 15 декабря 2017 г.Время видео: 42 мин.

Learn about different machine learning methods in the cloud and at the edge.

Configure Remote Access for Intel® VTune™ Amplifier Using PuTTY

Последнее обновление: 12 декабря 2017 г.Время видео: 8 мин.

Configure Intel® VTune™ Amplifier to capture performance data on a remote Linux* device using PuTTY.

Configure Remote Access for Intel® VTune™ Amplifier Using Cygwin*

Последнее обновление: 11 декабря 2017 г.Время видео: 6 мин.

Configure Intel® VTune™ Amplifier to capture performance data on a remote Linux* device using Cygwin*.

AI News: December 2017

Последнее обновление: 7 декабря 2017 г.Время видео: 1 мин.

In this episode you will get a look at deep neural networks and how they are being used to identify unattended baggage for new security. How deep learning could be used to discover crypto-currency trader sentiment. You'll also learn what Intel student ambassador Panuwat is doing in AI research.

Computer Vision at the Edge

Visions of Clouds: Computer Vision at the Edge

Последнее обновление: 6 декабря 2017 г.Время видео: 3 мин.

In this video learn about the methods of running a computer vision application at the edge using OpenCV.

Computer Vision in the Cloud

Visions of Clouds: Computer Vision in the Cloud

Последнее обновление: 6 декабря 2017 г.Время видео: 6 мин.

In this video learn about the methods of running a computer vision application in the cloud using AWS Rekogntion.

Introduction to Computer Vision AWS

Visions of Clouds: Computer Vision Overview

Последнее обновление: 6 декабря 2017 г.Время видео: 4 мин.

In this video learn about computer vision on the edge and in the cloud. We will compare the two methods and look at each strength and weakness.

Introducing the Persistent Collections for Java Library

Последнее обновление: 28 ноября 2017 г.Время видео: 2 мин.

Steve Dohrmann shares info on a great new Java library for storing Java data long-term. The Persistent Collections for Java library lets you create Java objects whose contents are stored directly in persistent memory. The library contains a selection of persistent collection classes including arrays, lists, and maps, as well as other persistent classes. You can define your own persistent classes as well.

IoT Developer Show November 2017

Последнее обновление: 27 ноября 2017 г.Время видео: 4 мин.

This episode features an awesome facial recognition and detection demo that uses the Intel® Computer Vision SDK Computer Vision SDK (CVSDK), and the OpenCV Library. Applications that can utilize these tools can be used for security, smart retail, smart cities, and even robotics!

Portland Virtual Reality Meetup October 23, 2017

Последнее обновление: 16 ноября 2017 г.Время видео: 18 мин.

Brent Insko, Intel Lead Software Architect in Virtual Reality Center of Excellence, presented talk on OpenXR* and the future of AR/VR/MR gaming.

Highlights of Portland Virtual Reality Meetup October 23, 2017

Последнее обновление: 16 ноября 2017 г.Время видео: 1 мин.

Brent Insko, Intel Lead Software Architect in Virtual Reality Center of Excellence, presented talk on OpenXR* and the future of AR/VR/MR gaming.

2017 Modern Code Developer Challenge

2017 Modern Code Developer Challenge Contestants Innovate on HPC, AI & IOT Projects

Последнее обновление: 15 ноября 2017 г.Время видео: 2 мин.

As part of its ongoing support of the world-wide student developer community and advancement of science, Intel has partnered with CERN through CERN openlab to sponsor the Intel® Modern Code Developer Challenge.

Big Data Processing with Google Cloud*

Последнее обновление: 14 ноября 2017 г.Время видео: 21 мин.

Learn to gather, analyze, and visualize data using Intel and Google tools.

Code a Service to Remotely Control an IoT Device

Последнее обновление: 2 ноября 2017 г.Время видео: 1 мин.

In this video, we will create a service that will allow us to remotely control IoT Devices.

Publish Temperature Data Over MQTT-TLS

Последнее обновление: 2 ноября 2017 г.Время видео: 1 мин.

In this video, we will write a NodeJS service that uses UPM and MQTT over TLS to securely publish a temperature sensor’s data to an MQTT broker on the IoT Gateway.

AI News: November 2017

Последнее обновление: 2 ноября 2017 г.Время видео: 1 мин.

In this episode you'll get an inside look at building a large-scale image-feature extraction framework with BigDL, You'll learn how to get you can get Free DevCloud access, and lastly you'll get an early look at CES 2018.

This is the 1 year anniversary of AI News, it's been fun, and we're looking forward to continuing to bringing you more episodes in the year to come!

Get Ready, Get Noticed, and Get Big with the Intel® Game Dev Program

Последнее обновление: 31 октября 2017 г.

Learn all about the Intel game dev program by visiting the Intel® Developer Zone

IoT Developer Show: October 2017

Последнее обновление: 30 октября 2017 г.Время видео: 5 мин.

In this episode of the IoT Developer Show we highlight an intelligent infrastructure demo by Priyanka Bagade. This demo shows how you can gather data from a traffic camera, and a road sensor with an Intel® NUC to process real time data and send it to the GE Predix cloud.

Python* Scalability in Production Environments

Последнее обновление: 27 октября 2017 г.Время видео: 48 мин.

Avoid rewriting Python* applications using tools and optimizations from Intel.

Reshaping Core Genomics Software Tools for the Manycore Era

Последнее обновление: 27 октября 2017 г.Время видео: 48 мин.

This session provides an overview of the results from a multiyear collaboration with engineers at Intel to revamp Bowtie and Bowtie 2 (and another related tool called HISAT) to make effective use of all the processor cores on modern Intel® CPUs.

Best Practices and Performance Studies for High-Performance Computing Clusters

Best Practices and Performance Studies for High-Performance Computing Clusters

Последнее обновление: 27 октября 2017 г.Время видео: 56 мин.

Maximize application performance in high-performance computing (HPC) workloads using key tunable elements.

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

Realizing Multi-Hit Ray Tracing in Embree and OSPRay

Последнее обновление: 26 октября 2017 г.Время видео: 54 мин.

This session discusses multi-hit ray traversal—a class of ray traversal algorithms that finds one or more primitives intersected by a ray and ordered by point of intersection.

Accelerate Big Data Processing with High-Performance Computing Technologies

Accelerate Big Data Processing with High-Performance Computing Technologies

Последнее обновление: 26 октября 2017 г.Время видео: 52 мин.

Learn about opportunities and challenges for accelerating big data middleware on modern high-performance computing (HPC) clusters by exploiting HPC technologies.

Massively Parallel K-Nearest Neighbor Computation on Distributed Architectures

Последнее обновление: 26 октября 2017 г.Время видео: 49 мин.

This session discuss the implementation and performance of the K-nearest neighbor (KNN) computation on a distributed architecture using the Intel® Xeon Phi™ processor

SDVIs and In-Situ Visualization on TACC's Stampede

SDVis and In-Situ Visualization on Texas Advanced Computing Center's (TACC) Stampede

Последнее обновление: 26 октября 2017 г.Время видео: 1 ч. 19 мин.

This talk presents recent work in high-fidelity visualization using the OSPRay ray tracing framework on the Texas Advanced Computing Center's (TACC) local and remote visualization systems.

Data Analytics, Machine Learning, and High-Performance Computing in Today’s Changing Application Environment

Последнее обновление: 25 октября 2017 г.Время видео: 51 мин.

This session describes what solutions companies want, how these companies may differ from the more “classical” consumers of machine learning and analytics, and the rising challenges that current and future high-performance computing (HPC) development may have to cope with.

Accelerate Machine Learning Software on Intel® Architecture

Последнее обновление: 25 октября 2017 г.Время видео: 28 мин.

This session presents performance data for deep learning training for image recognition that achieves greater than 24 times speedup performance with a single Intel® Xeon Phi™ processor 7250 when compared to Caffe*. In addition, we present performance data that shows training time is further reduced by 40 times the speedup with a 128-node Intel® Xeon Phi™ processor cluster over Intel® Omni-Path Architecture (Intel® OPA).

Performance Optimization of Deep Learning Frameworks Caffe* and TensorFlow* for the Intel® Xeon Phi™ Product Family

Последнее обновление: 25 октября 2017 г.Время видео: 52 мин.

In this talk, we analyze the performance characteristics of Caffe* and TensorFlow* on an Intel® Xeon Phi™ processor x200.

Advanced Video Processing Using Intel® Media SDK

Последнее обновление: 24 октября 2017 г.Время видео: 46 мин.

Learn to decode, process and encode high-performance video solutions using Intel® Media SDK.

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