This project focuses on binary anomaly detection in crowd behaviour using motion-based computer vision techniques. The goal is to classify video frames as either normal or anomalous by analysing ...

Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...

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