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TagData processing inequality

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At the Movies: Can AI Restore Blurred Images?

Working with pixels, we can do remarkable things—as long as we are not asking for magic

It’s an exciting scene in crime investigation movies. A critical image, like the one on the left below, is blurred by pixelization. The detective commands the technician, “Sharpen it!” and the technician pushes a key on a computer keyboard. The key activates an algorithm and, magically, the deblurred image on the right appears. That can’t be done in real life. An image cannot be sharpened using only the information in the image itself. This is proven by a mathy theorem called the data processing inequality. 1 The mutual information between an image and a corrupted blurred image cannot be increased by further processing. Period. That’s why the title of a recent news article from Duke University is misleading: “Artificial intelligence Read More ›

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Will artificial intelligence design artificial super-intelligence?

And then turn us all into super-geniuses, as some AI researchers hope? No, and here's why not
Because Moore's law is an exponential law, the numbers multiply rapidly and we could hit the physical limit rather suddenly. Current indications are that Moore’s law’s speed has already slowed or even ceased to be a true description of the IT industry today. Read More ›