This is the 4th in a sequence of articles about DARL A language and online REST interface and SaaS service that enables you to build and employ fuzzy logic expert systems, and even create them using Machine Learning.
Zenodys is Visual Development Tool, sandboxed execution environment and decentralized marketplace of digital assets. These aspects might seems unrelated at first sight, but properly combined together they create a marketplace where everyone, regardless of programming skills, are able to trade their digital assets.
For example, non developers can easily create applications with just drag’n’dropping visual icons and setting their properties inside Visual Development Tool. Applications can gather data from their devices and other sources and are executed off-chain inside sandboxed execution environment. Gathered digital assets are then published on distributed Digital Assets Marketplace.
Applications on consumer side are similar to ones on supply side. But instead of publishing digital assets to marketplace, they deliver purchased digital assets from marketplace.
Visual Development Tool is browser based IDE for visually connecting microservices (Elements). Created visual scripts are then executed by orchestration tool (Computing Engine) on edge devices in sandboxed execution environment.
Solving the Classification problem with ML.Net Version 0.2.
Use the online free system to create machine learning models you can understand
DARL is a fuzzy logic expert system language that can be composed from fragments selected from a database. We show you how with examples
This article shows how to use Winforms, WPF and C# to create a File Explorer Clone with Tabs and an extremely fast parallel file search utility.
A free service makes it possible to use a fuzzy logic expert system online. We'll go through an example of coding in .Net core to access this, and look at some of the features of the engine and the DARL language.
We'll use the ClassifyBot program to put together an ML pipeline to solve a text classification problem using open-source ML components
Design and implement a simple AI agent that can learn and fight the relentless spam plague.
This article describes a recommendation engine or collaborative filter that is written in C#.
The Machine Learning and Artificial Intelligence Challenge
Programming language Detection AI
With recent scientific advancements in Deep Learning, Artificial Intelligence and Neural Networks, as well as steadily evolving tools such as Tensorflow, Pytorch, and Keras, writing, testing and optimizing your own Neural Networks is now easier than ever before.
Spam filter using bidirectional LSTM networks