Local AI agents on Arduino UNO Q
Artificial intelligence has already evolved from simple conversational assistants into autonomous systems capable of interacting with software, hardware, sensors, and even the physical world. The next frontier is not simply “chatting” with AI, but enabling AI agents to observe, reason, decide, and execute actions locally at the edge. This shift becomes particularly interesting when combined with embedded systems. Why? Because traditionally, embedded development required deterministic programming, fixed automation logic, and carefully predefined behaviors. But now AI systems are capable...
