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Inference Engine Developer Guide

Deploying deep learning networks from the training environment to embedded platforms for inference is a complex task. The Inference Engine deployment...

Detecting Invasive Ductal Carcinoma with Convolutional Neural Networks

This article shows how deep learning can be used to be able to detect invasive ductal carcinoma (IDC) in unlabeled histology images. It shows how to...

Flower

Identify Plant Anatomy Using the Intel® Distribution of OpenVINO™ Toolkit

Use Case: Build a model to identify plant anatomy with the Intel® Distribution of OpenVINO™ Toolkit

Optimization Practice of Deep Learning Inference Deployment on Intel® Processors

Published on February 19, 2019

Optimize performance of inference service on CPUs and save computing resources using the iQIYI deep learning cloud platform

Inception V3 Deep Convolutional Architecture For Classifying Acute Myeloid/Lymphoblastic Leukemia

Inception V3, transfer learning, and how we use these tools in the Acute Myeloid/Lymphoblastic Leukemia AI Research Project.

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Implement Hand Gesture Recognition with XRDrive Sim

Showcases the implementation of object detection on a PC video stream using the Intel® Distribution of OpenVINO™ toolkit on Intel® processors

Model Optimizer Developer Guide

Introduction

Model Optimizer is a cross-platform command-line tool that facilitates the transition between the training and deployment...

Hands-On AI Part 17: Emotion Recognition from Images Baseline Model

Published on October 25, 2017, updated January 29, 2019

In this article, we will be building a baseline convolutional neural network (CNN) model that is able to perform emotion recognition from images....

Vehicle Advanced Monitoring System (VAMS)

This vehicle advanced monitoring system solution is intended for vehicular systems supporting the CAN protocol.

Maximize TensorFlow* Performance on CPU: Considerations and Recommendations for Inference Workloads

This article will describe performance considerations for CPU inference using Intel® Optimization for TensorFlow*

AI Practitioners Guide for Beginners

TensorFlow* Framework Deployment and Example Test Runs on Intel® Xeon® Platform-Based Infrastructure

How to Scale Performance with Intel® Movidius™ Neural Compute Sticks | AI News

Last updated: January 17, 2019

Get a brief glance at how hosts Ian Bragg, and Neal Smith discuss how to dynamically scale applications for performance with the Intel® Movidius™ Neural Compute Stick, or Intel® Movidius™ NCS.

Improve Biomedical Image AI Training and Analysis

Published on January 4, 2019

New techniques increase the accuracy of deep neural network training of class-imbalanced biomedical image data.

Knowledge Distillation with Keras*| AI News

Last updated: December 27, 2018

Learn about the concept of knowledge distillation, a process where a large and complex network is trained while extracting important features from the given data. It can produce better predictions, and the ways it can improve deep learning model performance on mobile devices.

Illustration of a "glass house"

Privacy Rights in the Ambient Computing Era | AI News

Last updated: December 21, 2018

Explore some concepts around making ethical choices to help protect privacy.

AI on PC: Introduction to Deep Learning Inference on the PC

Last updated: December 20, 2018Video length: 1 hr

This webinar introduces attendees to the challenges and opportunities presented to AI practitioners regarding inferencing on PC devices where CPU and integrated GPU resources can be readily exploited for their usages.

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Educate a New Generation of AI Developers

Published on December 20, 2018

Learn about the AI Digital Literacy project that teaches students AI programming, technologies, and design skills.

Getting to Know the Intel® Neural Compute Stick 2

Last updated: December 19, 2018Video length: 48 min

In this webinar you’ll get an overview of the Intel® Neural Compute Stick 2 (Intel® NCS 2), what it is good for, and see how easy it is to get started.

The Intersection of AI and Vision

Last updated: December 18, 2018Video length: 50 min

Learn about the benefits and capabilities of the new Intel® Vision Accelerator Design products, Intel® Distribution of OpenVINO™ toolkit and the Intel® Neural Compute Stick (Intel® NCS).

How to Get Started on a Kaggle* Competition | AI News

Last updated: December 13, 2018

Get a little insight into how you can get started in Kaggle* competition!

Use AI to Help Visually Impaired People Identify Cash

Published on December 12, 2018

This AI-powered app captures images of cash notes and uses audio to help visually impaired persons.

Analytics Zoo Overview

Last updated: December 7, 2018Video length: 3 min

This video animation provides an overview of the features and benefits of Analytics Zoo -  a unified analytics and AI open source software platform designed to simplify and accelerate AI solutions development using various frameworks models in Apache Spark*.

Apple* Machine Learning on Intel® Processor Graphics | AI News

Last updated: December 6, 2018

This episode of AI News looks at Apple Machine Learning Frameworks, and Metal* Performance Shaders, or MPS, on Intel Processor Graphics.

Deploy Image Classifiers onto Edge Devices

Last updated: December 6, 2018Video length: 13 min

See how to use the Intel® Movidius™ Neural Compute Stick (NCS) to quickly and accurately categorize images. Follow setting up an image classifier program on an edge device with a Raspbian* or Ubuntu* operating system. and an internet connection.

Learn more about the Intel® Movidius™ Neural Compute Stick

Dynamically Scale Performance with Multiple Intel® Movidius™ Neural Compute Sticks

Last updated: December 6, 2018Video length: 12 min

See how to dynamically scale applications for performance with the Intel® Movidius™ Neural Compute Stick (NCS). Learn about the role of the Neural Compute App Zoo, an online repository of pretrained neural networks and applications. Explore how to add multiple compute sticks to improve application performance for object analysis.

Enhance Drug Discovery Methods Using Deep Learning

Published on December 4, 2018

This innovative method for training a multiscale CNN gives researchers a tool to discover promising drugs.

Manufacturing and Production Improvements with Computer Vision

Last updated: November 29, 2018Video length: 42 min

Use cases for manufacturing and production improvements with computer vision.

Develop AI at the Network Edge with Intel® Neural Compute Stick 2

Last updated: November 20, 2018Video length: 2 min

The Intel® Neural Compute Stick 2 makes it more efficient to develop AI applications at the network edge by enabling testing and prototyping on devices.

Using Neuraltalk2 Automatic Sentence Generation to Create Deep Learning Workflows

Share the experiences in preparing and delivering a training session based on a publicly available DL repository.

interpretation of a Python

Intel® Optimization for TensorFlow* Installation Guide

Intel® optimization for TensorFlow* is available for Linux*, including installation methods described in this technical article. The different...

Deep Learning Brings Touch to Robots | AI News

Last updated: November 15, 2018

We are constantly trying to make robots more human-like, and one important thing scientists have tried to master is how to make robots understand their environment. Learn how deep learning can bring "touch" to robots!

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Compression and Acceleration of High-dimensional Neural Networks

An introduction to compression and acceleration of deep neural networks for resource-efficient inference.

Transitioning from Intel® Movidius™ Neural Compute SDK to Intel® Distribution of OpenVINO™ toolkit

This article provides guidance for transitioning from the NCSDK to the Intel® Distribution of OpenVINO™ toolkit.

Intel® Software Development Tools Optimize Deep Learning Performance for Healthcare Imaging

Last updated: November 14, 2018

Intel and GE brought the power of AI to clinical diagnostic scanning and other healthcare workflows.

Evaluating Automatic Labeling Models for Automated Vehicle Object Detection

Abstract

The purpose of this article is to highlight the importance of selecting metrics that provide a better evaluation of a neural net model’s...

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