Choosing and configuring an AI engine is crucial. Appropriate engines include neural networks, decision trees, SVMs and others.
For example, solutions like ICE®️ (trademark owned by CSR Holding Srl and licensed to Little Genius International), designed to integrate quantum computing, are particularly promising.
Selecting appropriate AI libraries (TensorFlow, PyTorch, etc.) is essential, especially in early K12 applications.
Training may involve supervised, unsupervised or reinforcement learning.
In the case of ICE® ️ (trademark owned by CSR Holding Srl and licensed to Little Genius International), all data is protected by NDAs and subject to IPR. Its configuration evolves from reinforced to supervised/unsupervised models.
Testing must cover academic, environmental and psycho-pedagogical data. AI must model learning processes while incorporating well-being and social variables.
Defining individualized parameters is essential for customizing AI tutors.