Article

Live Webinar: Boost Python* Performance with Intel® Math Kernel Library

Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
Authored by Mike P. (Intel) Last updated on 06/07/2017 - 10:28
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
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 03/21/2019 - 12:00
Article

Using Intel® Data Analytics Acceleration Library to Improve the Performance of Naïve Bayes Algorithm in Python*

This article discusses machine learning and describes a machine learning method/algorithm called Naïve Bayes (NB) [2]. It also describes how to use Intel® Data Analytics Acceleration Library (Intel® DAAL) [3] to improve the performance of an NB algorithm.
Authored by Nguyen, Khang T (Intel) Last updated on 07/06/2019 - 16:40
Article

Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50
Blog post

VTune Amplifier - Collection failed due to SCP failing to copy files from the host to the target

VTune Amplifier uses SCP as a mechanism to copy files to and from the host and the target system, while performing a remote collection. 

Authored by Shailen Sobhee (Intel) Last updated on 05/30/2018 - 07:08
Article

Brain Tumor Segmentation using Fully Convolutional Tiramisu Deep Learning Architecture

The aim of the work was to implement, train and evaluate the quality of automated brain tumor multi-label segmentation technique for Magnetic Resonance Imaging based on Tiramisu deep learning architecture.
Authored by Kocot, Szymon Last updated on 03/26/2019 - 16:20
Article

Intel® Distribution of OpenVINO™ Toolkit Image Segmentation Walkthrough in Python*

This paper presents a walkthrough of the Python* sample included in the Intel® Distribution of OpenVINO™ toolkit.
Authored by Bryan B. (Intel) Last updated on 01/07/2019 - 15:07
Blog post

OpenVINO™ on the PC - The Prelude

While getting my hands dirty with OpenVINO™ and UP2 on the Edge, I got

Authored by Rishabh Banga Last updated on 01/11/2019 - 14:05
Article

Detecting Acute Lymphoblastic Leukemia Using Caffe*, OpenVINO™ and Intel® Neural Compute Stick 2: Part 1

First part of a series that will take you through my experience building a custom classifier with Caffe* that should be able to detect AML/ALL.
Authored by Milton-Barker, Adam Last updated on 06/07/2019 - 16:44