In this special introduction episode, we open Season 2 of the Adapticx AI Podcast by shifting our focus from the foundations of artificial intelligence to one of its most transformative ideas: machine learning.

Season 1 took us through the origins of AI—from Turing’s early thought experiments and symbolic reasoning, to expert systems, AI winters, and the essential building blocks that shaped the field. In this episode, we connect that journey to what comes next: the rise of learning-based systems.

We explore why early AI systems struggled with complexity, why hand-crafted rules couldn't scale, and how researchers began asking a new question: What if machines could learn patterns directly from data?

This season is dedicated to understanding that shift. We introduce the motivations behind machine learning ...