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MIT student uses AI and printing tech to revolutionize art restoration

TL;DR: A new chapter in art conservation is unfolding at the Massachusetts Institute of Technology, where mechanical engineering graduate student Alex Kachkine has developed a technique that could dramatically change how damaged paintings are restored. For centuries, art restoration has been a painstaking, manual craft, with conservators spending months or even years meticulously retouching faded or cracked works, often matching colors by hand for thousands of tiny regions. Now, artificial intel

Historic paintings are being reborn with MIT's AI-based restoration method

TL;DR: A new chapter in art conservation is unfolding at the Massachusetts Institute of Technology, where mechanical engineering graduate student Alex Kachkine has developed a technique that could dramatically change how damaged paintings are restored. For centuries, art restoration has been a painstaking, manual craft, with conservators spending months or even years meticulously retouching faded or cracked works, often matching colors by hand for thousands of tiny regions. Now, artificial intel

MIT student prints AI polymer masks to restore paintings in hours

MIT graduate student Alex Kachkine once spent nine months meticulously restoring a damaged baroque Italian painting, which left him plenty of time to wonder if technology could speed things up. Last week, MIT News announced his solution: a technique that uses AI-generated polymer films to physically restore damaged paintings in hours rather than months. The research appears in Nature. Kachkine's method works by printing a transparent "mask" containing thousands of precisely color-matched region