02 Confident and Wrong: The Stubborn Blind Spots of AI in Particle Track Analysis
Machine learning has promised to revolutionize how physicists sift through mountains of detector data, yet neural networks trained on pristine laboratory trails routinely collapse when confronted with the messy, overlapping, and degraded signatures that real-world detectors produce. This investigation examines the specific failure modes that continue to plague AI-assisted particle detection and asks whether computers can ever truly grasp the underlying physics — or whether they are simply memori