Fourth Industrial Revolution

A new AI can spot art forgeries 

A Libyan businessman Mustafa Iskandar is seen at his art gallery and cultural centre in the old city of Tripoli, Libya April 23,2019. Picture taken April 23, 2019. REUTERS/Ahmed Jadallah - RC1A1BCAEC30

Putting the art in artificial intelligence. Image: REUTERS/Ahmed Jadallah

Victor Tangermann
Writer and Photo Editor, Futurism

Rembrandt Rip-Off

A couple from Massachusetts has trained a neural network to spot the difference between real oil paintings by 17th century Dutch painter Rembrandt and clever imitations.

As IEEE Spectrum reports, many of the 611 paintings attributed to Rembrandt are thought to be imitations, copies and forgeries. The idea is that this new AI could potentially help separate the authentic ones from the fakes.

Neural Artwork

The couple trained a “convolutional neural network,” which is an AI commonly used in image recognition algorithms, by showing it hundreds of works by Rembrandt and known fakes. Rather than feeding it complete scans of entire paintings — massive files in the gigabyte range that could take forever to process — they split them into much smaller tiles, 13,000 of them in total.

And the results of an initial test are promising: the neural network differentiated fake from real paintings with a 90.4 percent success rate.

But it still takes a zoomed-out view for the AI to do an effective job.

“If you really want to see what differentiates Rembrandt, you have to look at a bigger piece of the canvas and at a larger compositional level,” Steven Frank, who built the AI with his wife Andrea Frank, told IEEE Spectrum.

Have you read?
Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

Sign up for free

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Stay up to date:

Innovation

Related topics:
Fourth Industrial RevolutionEmerging Technologies
Share:
The Big Picture
Explore and monitor how Innovation is affecting economies, industries and global issues
World Economic Forum logo

Forum Stories newsletter

Bringing you weekly curated insights and analysis on the global issues that matter.

Subscribe today

The rise of gender-inclusive agritech and why it matters

Piyush Gupta and Drishti Kumar

December 19, 2024

How investing in connectivity and digital infrastructure can be a catalyst for inclusion and empowering people

About us

Engage with us

  • Sign in
  • Partner with us
  • Become a member
  • Sign up for our press releases
  • Subscribe to our newsletters
  • Contact us

Quick links

Language editions

Privacy Policy & Terms of Service

Sitemap

© 2024 World Economic Forum