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Research in Artificial Intelligence within Berkeley's EECS department focuses on fundamental advancements in deep learning, knowledge representation, reasoning, machine learning, planning, decision-making, computer vision, robotics, speech technologies, and natural language processing. Additional details can be found at the Berkeley Artificial Intelligence Research Lab (BAIR). The department also applies these innovations to practical challenges in fields like bioinformatics, network systems, and search technologies. Collaborations extend across campus with groups such as the vision sciences team, the I-School's information retrieval unit, and the computational biology initiative. Connections also exist with cognitive science research spanning psychology, linguistics, and philosophy. AI investigations incorporate methodologies from statistics, neuroscience, control theory, optimization, and operations research.