Emergent Property
Emergent properties describe complex system behaviors arising from simpler interactions, a phenomenon challenging to predict and understand. Current research focuses on identifying these properties in diverse systems, including neural networks (using models like transformers), materials science (leveraging machine learning and expert knowledge), and image analysis (applying techniques like UMAP and self-supervised learning). This research aims to develop methods for predicting and controlling emergent properties, with implications for advancing AI safety, materials discovery, and understanding complex phenomena across scientific disciplines.
Papers
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