We propose to take advantage of the advances in Artificial Intelligence and, in particular, Long Short-Term Memory Neural Networks (LSTM), to automatically infer model transformations from sets of input-output model pairs.
Low-code platforms are starting to offer integration with AI libraries and components to allow you design smart apps that combine the best of the low-code and AI worlds. Take a look!
Modeling and AI should not be just friends, they must be best friends forever. There are plenty of opportunities in the intersection of these two powerful paradigms. Check them out in this talk!
Xatkit is a new chatbot DSL that helps you to model and deploy complex chatbots that interact with external services. Bringing the power of model-driven engineering to chatbot development
We propose to assign a degree of belief to model statements, which is expressed by a probability (called credence, in statistical terms) that represents a quantification of such a subjective degree of belief. We discuss how it can be represented using current modeling notations, and how to operate with it in order to make informed decisions.
A selection of visual modeling environments for data science, machine learning and smart apps. The fastest way to start building your own AI components and ML models