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Blog post

Announcing the Intel® Distribution for Python* Beta

The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Authored by Robert C. (Intel) Last updated on 12/31/2018 - 16:12
Blog post

Top Ten Intel® Software Developer Stories for July

Authored by Carman, Vicky (Intel) Last updated on 07/03/2019 - 19:10
Blog post

Top Ten Intel® Software Developer Stories | August

Authored by Carman, Vicky (Intel) Last updated on 06/19/2019 - 16:15
Article

Benefits of Intel® Optimized Caffe* in comparison with BVLC Caffe*

Overview
Authored by JON J K. (Intel) Last updated on 05/30/2018 - 07:00
Article

Profiling TensorFlow* workloads with Intel® VTune™ Amplifier

This tutorial will show how to combine the data provided by TensorFlow*.timeline with options available in one of the most powerful performance profilers for Intel® Architecture – Intel® VTune™ Amplifier.
Authored by Alexandr Kurylev (Intel) Last updated on 03/21/2019 - 09:54
Article

Explore Unity Technologies ML-Agents* Exclusively on Intel® Architecture

This article describes how to install and run Unity Technologies ML-Agents* in CPU-only environments.
Authored by Bryan B. (Intel) Last updated on 07/05/2019 - 18:54
Article

Intel® Media SDK & Intel® Media Server Studio Historical Release Notes

Release Notes of Intel® Media SDK include important information, such as system requirements, what's new, feature table and known issues since the previous release.

Authored by Liu, Mark (Intel) Last updated on 07/03/2019 - 20:07
Blog post

Accelerate Computer Vision & Deep Learning with OpenVINO™ toolkit

Authored by admin Last updated on 03/21/2019 - 14:55
Blog post

Windows* Machine Learning: AI Acceleration on Intel® Hardware

Windows* Machine Learning (ML) is an inference engine running on the edge on the Windows operating system (OS) and provides a very simple developer interface that will be optimized under the hood for Intel hardware.
Authored by Coppock, Michael J (Intel) Last updated on 07/03/2019 - 20:18
Article

Reducing False Negatives in the Invasive Ductal Carcinoma Classifier

This project tries to trick the model by using very similar, but opposite class, images from a small set of testing data that we believe humans may have difficulty telling apart.
Authored by Milton-Barker, Adam Last updated on 03/15/2019 - 14:07