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AI technique developed by MIT student speeds up art restoration up to 66 times, lowering costs.
A graduate student at MIT has developed a new method using AI to restore damaged paintings up to 66 times faster than traditional techniques.
The process involves creating a digital "mask" of pigments that can be printed and applied to paintings, reducing restoration time and costs.
This could allow many damaged artworks, currently unseen due to high restoration costs, to be restored and displayed.
The technique also leaves a digital record of the restoration process for future reference.
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La técnica de IA desarrollada por un estudiante del MIT acelera la restauración de arte hasta 66 veces, reduciendo los costes.