Real or Not Real? Attorney Steven Frank Uses Deep Learning to Authenticate Art

Leonardo da Vinci s portrait of Jesus, called Salvator Mundi, was offered at a British auction for almost half a billion dollars in 2017, making it the most expensive painting ever to change hands.

Even art history specialists were hesitant about whether the work was an initial of the master rather than one of his many protégés.

Steven Frank is a partner at the law company Morgan Lewis, specializing in copyright and commercial innovation law. He s also half of the husband-wife group that utilized convolutional neural networks to identify that this painting was likely an authentic da Vinci.

He talked with NVIDIA AI Podcast host Noah Kravitz about dealing with his better half, Andrea Frank, an expert curator of art images, to verify artistic work of arts with AI s assist.

Secret Points From This Episode:

Confirming art is a fantastic obstacle, as the attributes of a painting that distinguish one artist s work from another s are very subtle. Determining if a piece is authentic requires a very great analysis of a painting s extremely detailed variations.
Using big datasets, the Franks experienced convolutional neural networks to take a look at little, manageable sectors of masterpieces to examine and classify their artists patterns, down to their brush strokes. The model determined that the Salvator Mundi painting sold five years ago is likely the real work of da Vinci.

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The most interesting thing about AI research study nowadays is that you can do advanced AI research on an affordable PC as long as it has an NVIDIA GPU. Steven Frank [22:43]

AI might sometimes be wrong, but it will constantly be unbiased, if you train it properly. Steven Frank [10:48]

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AI might sometimes be wrong, however it will always be unbiased, if you train it properly. The most interesting thing about AI research these days is that you can do cutting-edge AI research on a low-cost PC as long as it has an NVIDIA GPU. Have a couple of minutes to spare? Fill out this listener study. Your answers will help us make a much better podcast.

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