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The document discusses the history and development of artificial intelligence over the past several decades. Early research focused on symbolic approaches using logic and rules to represent knowledge. More recently, machine learning techniques like deep learning have proven very successful in applications such as computer vision and natural language processing by learning from large amounts of data rather than being explicitly programmed. Current AI research aims to build human-level intelligence through new approaches that combine symbolic and sub-symbolic methods.
