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Episode 03: Cinjon Resnick, NYU, on activity and scene understanding

Generally Intelligent

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Challenges in Activity Recognition and Learning

This chapter discusses the complexities of language, game theory, and machine learning, particularly relating to activity recognition in sports like gymnastics. It delves into the significance of detailed datasets for capturing fine-grained movements and the evolution of understanding complex skills akin to developing a 'grammar' for body movements. Additionally, the speaker shares a personal journey into circus arts, highlighting a shift from initial skepticism to passionate engagement with the intricacies of motion recognition.

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