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Wit — Natural language for the Internet of Things

Wit — Natural language for the Internet of Things

Related:  WIT.AICool WebsitesSHS3G Sciences humaines et sociales Troisième générationIoTProgrammation Explained — Part 1 — Bot Engine, Stories, and Actions I’ve been experimenting with bots for a couple of years now and I’ve gone through IBM Watson’s Dialog API, and for NLU As A Service. Somehow, I keep coming back to What Wit Used to Do For the longest time, what did for you was provide an API that takes your text or voice input and returns intents and entities:

Strike Search - Torrent Search Engine I suppose I’ve been waiting to make this post for sometime. Source code for Strike Search is released here some of you might be aware that since Aurous was sued and shutdown I’ve been quite absent from maintaining a few of my projects. Shivon Zilis - Machine Intelligence Machine Intelligence in the Real World (this pieces was originally posted on Tech Crunch) . I’ve been laser-focused on machine intelligence in the past few years. I’ve talked to hundreds of entrepreneurs, researchers and investors about helping machines make us smarter. In the months since I shared my landscape of machine intelligence companies, folks keep asking me what I think of them — as if they’re all doing more or less the same thing. (I’m guessing this is how people talked about “dot coms” in 1997.)

BowPad BowPad BowPad is a small and fast text editor with a ribbon user interface and syntax highlighting. A few notable features of BowPad: syntax highlighting for over 100 file types and languageshandling of many different encodings, including UTF-8, UTF-16 and even UTF-32easy ribbon user interfacenavigation hints in the vertical scrollbarcoloring of open tabs according to their pathextendable with plugins written in JScript or VBScript Wit — Recipes Natural Language Processing (NLP) allows you to understand the meaning of a user input. You may need it as a stand-alone layer to parse text or speech into structure data You will also need NLP to build a conversational app to understand the user query and extract meaningful information out of it. Categorize the user intent Problem You want to understand what your end-user wants to perform. For example:

SensorWake - Wake Up Happy with the Smell-Based Alarm Clock by Guillaume Rolland Risks and challenges We are very proud to be able to offer our product to backers on Kickstarter. But for us, it’s only the beginning. The most important thing for us is to make sure our community, especially our Kickstarter backers fully enjoy our product. We have already worked for two years to get our prototype up and running. We’re happy that this work has been acknowledged and backed by leaders in the tech field, such as Google.

LEGO Mindstorms EV3 System requirements PC with Microsoft Windows Windows Vista (32/64-bit) with the latest Service packs or later versions of Windows Dual core processor 2.0 GHz or better 2GB of RAM or more 2GB of available hard-disk space XGA display (1024 x 768) 1 available USB port System requirements Apple Macintosh with OS X Mac OS 10.6 with latest Service packs or later versions of Mac OS Dual core processor 2.0 GHz or better 2GB of RAM or more 2GB of available hard-disk space XGA display (1024 x 768) 1 available USB port Once you have confirmed that your computer meets the minimum system requirements, you are ready to install the software. Close all other programs, then double click on the installation file in the EV3 Software application folder.

Wit — Quick start In this section, we will show you how to build your first conversational app Sign up with GitHub or Facebook Go to home page and sign in with your GitHub or Facebook account. Voila! You now have access to the Wit console. This is the go-to site to configure and train your app. HeavyM - Download HeavyM HeavyM is now on beta release and free for non-commercial use. If you use it in a project, please mention that you use HeavyM and include a link to To install our software, just unzip your HeavyM package and double-click on the execution file contained. For more informations and tutorials regarding how to use HeavyM, click here! Version 0.94.6 - beta !

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