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https://str.us/our-work/explaining-the-magic

Explaining the magic - STR

Watching artificial intelligence (AI) work at scale is impressive. Algorithms turn text into speech that is nearly indistinguishable from a human, recognize cats in billions of images, and generate “deep fake” videos that sneakily place famous faces onto imposter bodies. However, mapping the workings of neural networks to human-understandable terms is a notoriously difficult problem. […]



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Explaining the magic - STR

https://str.us/our-work/explaining-the-magic

Watching artificial intelligence (AI) work at scale is impressive. Algorithms turn text into speech that is nearly indistinguishable from a human, recognize cats in billions of images, and generate “deep fake” videos that sneakily place famous faces onto imposter bodies. However, mapping the workings of neural networks to human-understandable terms is a notoriously difficult problem. […]



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https://str.us/our-work/explaining-the-magic

Explaining the magic - STR

Watching artificial intelligence (AI) work at scale is impressive. Algorithms turn text into speech that is nearly indistinguishable from a human, recognize cats in billions of images, and generate “deep fake” videos that sneakily place famous faces onto imposter bodies. However, mapping the workings of neural networks to human-understandable terms is a notoriously difficult problem. […]

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      Watching artificial intelligence (AI) work at scale is impressive. Algorithms turn text into speech that is nearly indistinguishable from a human, recognize cats in billions of images, and generate “deep fake” videos that sneakily place famous faces onto imposter bodies. However, mapping the workings of neural networks to human-understandable terms is a notoriously difficult problem. […]
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