
In a world where artificial intelligence is increasingly intertwined with our daily lives, decentralized artificial intelligence (DeAI) offers a promising alternative to current centralized AI models. However, this innovative approach faces major hurdles, primarily due to a significant lack of diverse and rich datasets required for effective AI model training. Highlighting these issues, the article “Mind the data gap: DeAI










