In this episode of Everything Explained, we explore how AI detects patterns that humans often miss. From the layered workings of neural networks to training on massive datasets, we uncover why AI excels at spotting subtle correlations in images, language, and sensor data. The episode explains how deep learning builds complex representations from simple features, why humans are limited by attention and memory, and how AI assists in fields like medicine, science, and business. We also cover important caveats, including biases, spurious correlations, and the need for human oversight. A clear, practical guide to understanding how AI complements human intelligence by revealing patterns hidden in plain sight.