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RavenDB 3.0 RTM!

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RavenDB 3.0 is out and about! It is available on out downloads page and on Nuget. You can read all about what is new with RavenDB 3.0 here. This is a stable release, fully supported. It is the culmination of over a year and a half of work, a very large team and enough improvements to make you dance a jig. You can play with the new version here, and all of our systems has been running on 3.0 for a while now, of course. And with that, I’m exhausted, thrilled and very excited. Have fun playing with 3.0, and
check by tomorrow to see some of the cool Wow features. ...(Read whole news on source site)

Speech Recognition in ASP.NET

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Speech synthesis and recognition were both introduced in .NET 3.0. They both live in System.Speech.dll. In the past, I already talked about speech synthesis in the context of ASP.NET Web Form applications, this time, I’m going to talk about speech recognition. .NET has in fact two APIs for that:
System.Speech, which comes with the core framework;
Microsoft.Speech, offering a somewhat similar API, but requiring a separate download: Microsoft Speech Platform Software Development Kit.
I am going to demonstrate a technique that makes use of HTML5 features, namely, Data URIs and the
href="" target="_blank">getUserMedia API and also ASP.NET Client Callbacks, which, if you have been following my blog, should know that I am a big fan of. First, because we have two APIs that we can use, let’s start by creating an abstract base provider class:

Simplify Static Member Access – Using Statement With Static Classes in C# 6.0

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C# 6.0 introduced many small and useful features that helps developers to write clean code. On of such feature is “Using Statement with Static Classes”. We know a static class cannot be instantiated. While using any static member, we find ourselves repeating the class name to access any of the static members. It looks kind […]

Visual Studio Toolbox: Modern App Development

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This is the third in a series of shows featuring speakers from the VSLive conference, which was held in Redmond in August. In this episode, I am joined by Rocky Lhotka for an in-depth and very engaging conversation on modern app development and how developers should think about building apps in what Rocky calls "the post mobile world".

Rapid Progress in Automatic Image Captioning - Machine Learning - Site Home - TechNet Blogs

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Rapid Progress in Automatic Image Captioning - Machine Learning - Site Home - TechNet Blogs

. There are as many definitions of image understanding as there are
computer vision researchers, but if we can create a system that can
automatically generate descriptive captions of an image as well as a
human, then I think we’ve achieved the goal.

Given all of the advances in deep learning for object classification and detection, we thought it was time to build a credible system.