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A recent study has shown that there are significant differences between human and computer vision, particularly in terms of peripheral vision. Humans have the ability to perceive shapes and objects in their peripheral vision, while AI lacks this capability. Researchers at MIT are working on developing a way to simulate peripheral vision in machine learning algorithms, which could improve their performance in tasks such as identifying potential dangers.
