RAIDO Green AI Orchestration in TinyML: Towards Enabling Sustainable Innovation for Developing Countries
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 and embedded devices. Combined with AI orchestration, TinyML has the potential to democratize access to intelligent systems while supporting global […]
Building Smarter Data Pipelines: How RAIDO Is Transforming AI-Ready Data Preparation
How the RAIDO project is automating data curation, annotation and federated mining to power trustworthy AI High-quality training data is the backbone of any reliable AI system. However, data preparation turns out to be the most challenging phase of the machine learning lifecycle in terms of required efforts and the likelihood of mistakes. According to […]