Monday, October 09, 2017

ASP.NET Core 2.0 @ Channel 9

What's New in ASP.NET Core 2.0 | .NET Conf 2017 | Channel 9

Angular and .NET Core | Visual Studio Toolbox | Channel 9

ASP.NET Core 2.0 Security | .NET Conf 2017 | Channel 9

Get Started with ASP.NET Core 2.0 | .NET Conf 2017 | Channel 9

.NET Core 2.0 Released! | dotnet | Channel 9

Introducing ASP.NET Core 2.0 | Build 2017 | Channel 9

AWS IoT App Challenge
"Build an app that collects and processes sensor data to solve a particular user need ...The app must use AWS IoT, Amazon Kinesis, or both to collect and process the data, then take actions in real-time.
...The rewards for the winning submissions include a total prize pool of $10,000, an Amazon Echo, AWS Credits, and more. You’ll also have the opportunity to meet with AWS product team leaders and have your winning submission promoted by AWS."
AWS IoT and Amazon Kinesis how to

Aug 29 – Nov 16, 2017

Azure HDInsight Documentation (MD => PDF)

Azure HDInsight Documentation - Tutorials, API Reference | Microsoft Docs

hdinsight-dev-guide/HDInsight Developer Guide.pdf at master · hdinsight/hdinsight-dev-guide · GitHub

GitHub - ZoinerTejada/hdinsight-docs: HDInsight Developer's Guide

AI cloud services: Amazon Rekognition, Azure Face API, GCP Vision API

New iPhones have super fast custom CPU, so it can do local image processing.
With help of "cloud" any web site of app could do similar.

Amazon Rekognition – Deep learning-based image analysis
"Amazon Rekognition is a service that makes it easy to add image analysis to your applications. With Rekognition, you can detect objects, scenes, faces; recognize celebrities; and identify inappropriate content in images. You can also search and compare faces. Rekognition’s API enables you to quickly add sophisticated deep learning-based visual search and image classification to your applications."
Face API - Facial Recognition | Microsoft Azure
"Detect human faces and compare similar ones
Organize images into groups based on similarity
Identify previously tagged people in images"