Press and Media
These are some of the posts, interviews, articles about research of our laboratories
Major Media Coverage:
Yang Wang “Why do we love Picasso? A ‘creativity algorithm’ explains” The Washington Post, July 31, 2015
Stephen Heyman "How computing can help art historians", In International Art, July 15, 2015
Dominic Basulto “Why it matters that computers are now able to judge human creativity” The Washington Post, June 18, 2015.
Dewin Coldewey "Computer Art Critic Picks Most Creative Paintings in History"; June 11, 2015.
Mark Wilson "History's most creative paintings determined by algorithm"
Daniel Culpan "Computer algorithm picks history's most creative paintings"
"A computer says that these are the most creative paintings of all time", by Alexandra Ossola; June 2015.
"Computer algorithm picks the world's most creative art", June 2015.
"Machine Vision Algorithm Chooses Most Creative Paintings in History"
John Wenz "Machines can now decide which works of art are the most creative"
Benjamin Sutton "Can an Algorithm Determine Art History’s Most Creative Paintings? "; June 2015
Aisling Kelliher “Machine Learning Culture” IEEE MultiMedia, April - June 2015
"The Machine Vision Algorithm Beating Art Historians at Their Own Game" , MIT Technology Review, May 11, 2015
Mohana Ravindranath “Computer Science Putting Art Analysis on Faster Track” The Washington Post, Nov. 10th , 2014
Mohana Ravindranath “Can an algorithm tell us who influenced an artist?” The Washington Post, Nov. 9th , 2014
Meghan Rosen, “Computer program reveals artists’ influences,” Science News, Oct. 13, 2014.
Rosalind Mckever "Can artificial intelligence really identify artistic influence?", Apollo-magazine, September 19, 2014
Mostafa Heddaya, “Seeing Art History with Machine Eyes,” Hyperallergic, Aug. 26, 2014.
Zach Sokol, “An Intelligent Algorithm Made A Discovery That Slipped Past Art Historians For Years,” The Creators Project, Aug. 26, 2014.
Rafael Garcia "Scientists create computer program that analyzes painting and identifies influences between artists" article in portuguese, Folha De S. Paulo, August 24th, 2014
Griselda Pollock, “Computers can find similarities between paintings—but art history is about so much more,” The Conversation US, Aug. 22, 2014.
Responses to this critical post can be found at:
Alexander Brey "How much more could art history be about?", Object Oriented, Art, Archaeology, and the Pursuit of Happiness, September 10, 2014.
Ahmed Elgammal "Computer science can only help -not hurt- art historians" The Conversation - December 2014
"Can Computers Map Artistic Influence?" Artnet News, August 19, 2014
Matthew Sparkes, “Could Computers Put Art Historians Out of Work?” The Telegraph, Aug. 18, 2014.
Coverage in art and technology blogs
"Computers Are Learning About Art Faster than Art Historians", May 2015
Jens Ramskov "Kan computere gå kunsthistorikere i bedene?" - article in Danish, The Engineering September 7, 2014
Duane Kelly "Whence Artistic Influence?" August 28, 2014
Marissa Brassfield "Artificial Intelligence Finds Artists' Influences Historians Couldn't," Not Impossible Now, August 26, 2014.
"New experiment discovers artists' influences" - barnebys.co.uk, August 20, 2014
"Are Computers Sending Art Historians Straight to the Dole Queue? Not Likely..." The Golovine, August 19, 2014.
“When A Machine Learning Algorithm Studied Fine Art Paintings, It Saw Things Art Historians Had Never Noticed,” The Medium, The Physics arXiv Blog, Aug. 18, 2014.
