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The Limits of Computer Vision, and of Our Own | Harvard Medicine Magazine

magazine.hms.harvard.edu · 3,167 words · saved by 1 readers

In fields such as radiology, AI models can help compensate for the shortcomings of human vision but have weaknesses of their own Spring 2024 Have you ever locked eyes with a horseshoe crab? You might have without realizing it — with ten eyes scattered across their outer shell, their peepers look nothing like our own. Chameleons have only two eyes but can move them independently, allowing the lizards to shift between binocular and monocular vision. And bees can see ultraviolet light, which helps them find nectar. All of these vision systems share the same goal: to filter an infinitely nuanced reality into useful bits of information. But they go about it differently, offering a reminder that “there isn’t one unique solution to vision,” says Gabriel Kreiman, an HMS professor of ophthalmology at Boston Children’s Hospital. Kreiman often reflects on the diversity found in the natural world as he fine-tunes another approach to sight: computer vision using artificial intelligence. “You can th

All Articles The Limits of Computer Vision, and of Our Own May 2024 The Limits of Computer Vision, and of Our Own In fields such as radiology, AI models can help compensate for the shortcomings of human vision but have weaknesses of their own Spring 2024 By Molly McDonough 13 min read Feature Have you ever locked eyes with a horseshoe crab? You might have without realizing it — with ten eyes scattered across their outer shell, their peepers look nothing like our own. Chameleons have only two eyes but can move them independently, allowing the lizards to shift between binocular and monocular vis

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