Media

Sample Media Coverage

 

The Beethoven X project, in 2021, has received worldwide media attention. Here are few prominent news posts about it, among many others:

• Documentary on Beethoven X, the AI project, director: Hannes Michael Schalle, 2021. https://www.imdb.com/title/tt12117484/
• CNN Farid Zakaria GPS, December 18th, 2021
• NBC Sunday Morning News, October 24th, 2021 
• NPR, All things considered, radio broadcast, October 2nd, 2021. 
• The Week, UK, October 1st 2021 
• Oliver Moody, “AI ‘completes’ Beethoven’s final masterpiece” The Times, October 1st 2021 
• Teresa Carey, “Beethoven’s Unfinished 10th Symphony Brought to Life by Artificial Intelligence”, Scientific American, podcast, October 15, 2021 
• Julie Gaubert, “After more than two centuries, Beethoven’s 10th Symphony has been completed by an AI”, Euronews, October, 2021 
• BBC world service, radio broadcast, October 10th, 2021 
• ABC, Australia, radio broadcast, October 17th 2021. 
• Stephen Humphries, “Roll over, Beethoven. AI tackles his 10th Symphony.” The Christian Science Monitor, October 5th 2021. 
• Bloomberg TV, interview, October 12th ,2021 

The paper “CAN: Creative Adversarial Networks, Generating “Art” by Learning About Styles and Deviating from Style Norms” has received worldwide media attention. Here are few prominent news posts about it:

• The Atlantic, March 2019.
• CBS Sunday Morning News, July 29^th 2018 featuring CAN art.
• Jonathan Bastable “Is artificial intelligence set to become art’s next medium?” Christie Magazine, August 2018
• Rene Chun “It’s Getting Hard to Tell If a Painting Was Made by a Computer or a Human” Artsy, September 21^st, 2017.
• Michael Andor Brodeur “Can art be created by algorithms?” The Boston Globe, August 4^th, 2017.
• Chris Baraniuk “Artificially intelligent painters invent new styles of art” New Scientist, June 2017
• “Machine Creativity Beats Some Modern Art” MIT Technology Review, June 2017.
• Claire Voon “Humans Prefer Computer-Generated Paintings to Those at Art Basel” Hyperallergic, July 31, 2017.
• Cheyenne MacDonald “The AI artist that can create its own painting style (and critics even PREFER some of its work to human efforts)” The Daily Mail, June 29^th
• Mark Wilson “What’s The Next Great Art Movement? Ask This Neural Network: Ahmed Elgammal is creating AI that thinks like an artist.” Fast Company, July 5^th

 

The paper “Quantifying Creativity in Art Networks” has received worldwide media attention. Here are few prominent news posts about it:

• 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” The New York Times, July 15, 2015
• Dominic Basulto “Why it matters that computers are now able to judge human creativity” The Washington Post, June 18, 2015.
• Maddie Crum “Which Famous Paintings Are The Most ‘Creative’? This Formula Might Have The Answer” The Huffington Post, July 6, 2015.
• Devin Coldwewy “Computer Art Critic Picks Most Creative Paintings in History” NBC News, June 11, 2015.
• Benjamin Sutton “Can an Algorithm Determine Art History’s Most Creative Paintings?” Hyperallergic, June 12, 2015.
• Marissa Fessenden “History’s Most Creative Paintings, As Picked by a Computer”, Smithsonian Magazine, June 18, 2015.
• Richard Gray “Move over art critics! Computer algorithm reveals the most original masterpieces of all time” The Daily Mail, June 16, 2015.
• Guelda Voien “Computer Program Ranks Relative ‘Creativity’ of Historical Paintings” Observer, June 23, 2015.
• Rob Waugh “A Computer Has Ranked The Human Race’s ‘Best’ Art Works” Yahoo News, June 19, 2015.
• Marc Bain “Picasso = Genius: This algorithm can judge “creativity” in art as well as the experts” Quartz, June 11, 2015.
• Miguel Angel Criado “El Cristo de Goya, el cuadro más original para las máquinas” EL PAIS (Spain’s top national news paper, appeared also in the Brazilian edition) June 17, 2015.
• “Los cuadros más creativos de la historia según la ciencia” ABC news paper (Spain third largest news paper)
• Stefania Medetti “Arriva l’algoritmo che analizza e cataloga l’arte” Panorama, Italy, June 18, 2015.
• Philip Ferrari “L’algoritmo che giudica le opere d’arte” Focus, Italy, June 15, 2015
• “Machine Vision Algorithm Chooses the Most Creative Paintings in History” MIT Technology Review, June 10, 2015

 

The post “Which paintings were the most creative of their time? An algorithm may hold the answers”, published in the Conversation on July 2015, has been reposted in the following media outlets:

 

• Time Magazine – Idea’s section on July 31^st 2015 “How to Find Out Which Paintings Were the Most Creative of Their Time”
• Newsweek – Opinion section on August 2^nd 2015  “What Makes a Picture Great? There’s an Algorithm for That”
• Discover Magazine July 30^th 2015 “Can You Teach Creativity to a Computer?”
• Humanity+ media on July 30^th 2015 “Artificial Intelligence and Algorithmic Creativity”
• Mashable on July 30^th 2015 “This algorithm is designed to measure the creativity of a painting”

 

The paper “Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature” has received some media attention. Most prominent posts:

• “The Machine Vision Algorithm Beating Art Historians at Their Own Game” MIT Technology Review, May 11, 2015.
• Marissa Fessenden “Computers Are Learning About Art Faster than Art Historians” Smithsonian Magazine, May 13, 2015.
• Tanya Lewis “Art-ificial Intelligence? Algorithm Sorts Paintings Like a Person” Live Science, June 19, 2015

 

The paper “Toward Automated Discovery of Artistic Influence” has received extensive media coverage. Here are prominent posts about it:

• Haluka Maier-Borst “Looking for the art formula” PM Magazine, Germany, March 2015.
• Mohana Ravindranath, “Computer Science Putting Art Analysis on Faster Track,” The Washington Post, 10, 2014.
• Mohana Ravindranath, “Can an algorithm tell us who influenced an artist?” The Washington Post, Nov. 9, 2014.
• Antonio Martínez Ron, “Este algoritmo quiere ser crítico de arte,” Vozpópuli, Oct. 16, 2014 (in Spanish).
• 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
• Matthew Sparkes, “Could Computers Put Art Historians Out of Work?” The Telegraph, Aug. 18, 2014.