Scientists have developed an AI-driven approach that significantly advances our understanding of the hand's complex motor functions. The team used a creative machine learning strategy that combined curriculum-based reinforcement learning with detailed biomechanical simulations. The research presents a detailed, dynamic, and anatomically accurate model of hand movement that takes direct inspiration from the way humans learn intricate motor skills.
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