In this episode, we explore a quiet but powerful breakthrough in AI vision, multi-temporal learning.

Instead of analyzing the world from a single snapshot, new research shows what happens when AI learns to see across time, using memory and context to make calmer, more accurate decisions. Through the lens of satellite imagery and real-world automation, this conversation unpacks why the future of artificial intelligence may not be about faster models but about systems that remember before they react.