Modern Artificial Intelligence relies on data. As AI solutions become more sophisticated and are applied across different domains, managing datasets efficiently, securely, and sustainably becomes significantly important. This is exactly the challenge addressed by the

Artificial intelligence is often associated with massive data centers and energy-intensive computation. However, a new generation of lightweight and energy-efficient AI is emerging through TinyML — the deployment of machine learning models on ultra-low-power microcontrollers