Health-sciences university whose AI community develops, applies, and evaluates systems for computational health, clinical care, imaging, and biomedical research, with an emphasis on trustworthy and equitable use.
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Organizations shaping AI
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Research university whose AI work connects machine learning and data modelling with robotics, healthcare, creative technologies, language, and the study of AI risks and social impact.
Its institution-wide AI Plus initiative combines interdisciplinary research, education, supercomputing, and study of AI's social effects. Focus areas include health, trustworthy systems, public policy, and human-centered AI.
A broad research institution with particular strengths in medicine and interdisciplinary scholarship. Its computing work includes computational logic, human-centered systems and applied machine learning across engineering and health.