Coursera has introduced a 2026 AI Learning Roadmap to guide learners from foundational knowledge to advanced skills in machine learning, NLP, and related fields. The roadmap combines theory, ...

From weather apps to AI-powered simulations, students now have abundant resources to combine MATLAB, Python, and collaborative cloud tools like Google Colab. These platforms make it easier to learn, ...

Advanced Logger for MATLAB provides configurable and extensible logging capabilites for MATLAB applications. This logger can be configured to write to multiple outputs: A log file in text format ...

In this tutorial, we build an advanced Agentic AI system using spaCy, designed to allow multiple intelligent agents to reason, collaborate, reflect, and learn from experience. We work through the ...

ABSTRACT: The Tabu Search heuristic can be used to optimise the WET (waste to energy technology). Developments were made to the basic Tabu Search to adapt it to the optimisation problem. This paper ...

In this tutorial, we demonstrated how Microsoft’s AutoGen framework empowers developers to orchestrate complex, multi-agent workflows with minimal code. By leveraging AutoGen’s RoundRobinGroupChat and ...

Abstract: Background: Efficient data processing is an increasing additional important part in computer science, especially with large growing datasets. MATLAB is a complex and most often used tool ...

And i like your idea to add the guide for how to find out more about the data into your tutorials. If you are interested and able to share an example notebook you are building using SWOT data and ...

MathWorks' MATLAB was used extensively to design 5G systems, and now it's doing the same with the emerging 6G standard. The MATLAB 6G Exploration Library is a new addition to MATLAB to model and ...