Intel® Integrated Performance Primitives (Intel® IPP) is a software library that provides a broad range of functionality, including general signal and image processing, computer vision, data compression, and string manipulation.

This article is a step-by-step guide on the methodology of dispatching a workload to all OpenCL devices in the platform with the same kernel to jointly achieve a computing task.

Explore performance analysis options provided by the Intel® VTune Amplifier for Python applications to identify the most time-consuming code sections and critical call paths.

This section describes implementation of FaaS inference samples (based on Python 2.7) using Amazon Web Services (AWS) Greengrass and AWS Lambda software.

This tutorial explores the use of deep learning models for face detection, age, gender, and emotion recognition, and head pose estimation included in versions of the Intel® Distribution of OpenVINO™ toolkit.

In this post, I want to show you how to: Create an App Service on Linux on Azure, set up a build pipeline on Azure DevOps (previously known as VSTS), and integrate Azure DevOps with Sentry.

In this tutorial, we will setup a basic machine learning prediction model to run as an Amazon Web Services (AWS) Lambda function in an AWS Greengrass group.

You can build your online, operational workloads atop MongoDB and still respond to events in real time by kicking off Amazon Kinesis stream processing actions, using MongoDB Stitch Triggers

In this article I review the DocGenius™ Toolkit by ActivePDF, a powerful .NET library for manipulating PDF documents.

Using the Twilio and CleverBot APIs you will make a Flask app that texts CleverBot, which is an AI you can chat with that learns from its conversations.