Intelligence Test

Intelligence testing, aiming to measure cognitive abilities, is undergoing a transformation driven by advancements in artificial intelligence. Current research focuses on developing and evaluating computational models, including graph neural networks and contrastive predictive coding, to solve tasks like Raven's Progressive Matrices and analyze brain connectomes to predict intelligence scores. This work seeks to improve our understanding of human intelligence and its neural correlates, while also creating more robust and efficient AI systems capable of performing complex reasoning tasks. The resulting insights have implications for both cognitive science and the development of advanced AI applications.