How a simple game and a laptop webcam helped us train AI to track gaze patterns—and uncover insights into visual attention in children with ASD.

Traditional RNA alignment tools struggle with massive datasets, slowing down critical research. This article explores a new AI-driven approach using vectorization and machine learning to significantly expedite the process.

Overfitting and underfitting are two of the biggest challenges in machine learning. One leads to a model that memorizes data but fails in the real world, while the other results in a model too weak to capture meaningful patterns. In this guide, we’ll break down both problems, show you how to spot them, and—most importantly—how to fix them!