Training Neural Networks in the STEM Suite

Learning Artificial Intelligence Practically with fischertechnik

With the new AI integration in the fischertechnik programming software, students and teachers can train their own neural networks and use them directly in fischertechnik robotics projects. The graphical user interface makes getting started intuitive: after training, a special programming block is generated that can be used like any sensor or actuator. This is how we bring artificial intelligence into the classroom – not as an abstract concept, but as a tangible, exciting learning experience for everyone.

Advantages in the Classroom

Easy entry into AI with a visual, easily accessible interface.
Practical learning with real robots.
Customizable exercises for different age and skill levels.
Understanding the influence of parameters and data on AI outcomes.
Automatic block generation facilitates integration into own projects.

Learning Objectives

Basic understanding of neural networks
Working with real sensor data
Direct application in projects
Experimenting with training parameters
Import and export of training data
Execution in real time on the controller
Preconfigured exercises

How the 4-Step Learning Process Works

Creating the Neural Network

The tool enables you to create and train your own neural network in a simple and intuitive way.

Training of the Neural Network

The neural network is trained with existing or sensor-collected data.

Integration into the Program

After completing the training, an AI block is generated that can be used in programs to intelligently control motors, LEDs, or other actuators, for example.

Real-time execution

The trained model runs directly on the controller without the need for a computer to be permanently connected.

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