Machine Learning, Curated by Matthew Deleget, The Painting Center, New York, NY

November 27 – December 22, 2007

An exhibition examining pattern painting in the information age, featuring four NYC-based artists Henry Brown, Terry Haggerty, Gilbert Hsiao & Douglas Melini, with a special project room installation by Michael Zahn.

The title of the exhibition, Machine Learning, is inspired by a part of artificial intelligence concerned with the development of algorithms that allow computers to “learn”.   Machine learning recognizes patterns within massive sets of information and has a wide range of real-world applications, the most ubiquitous of which is the Internet search engine.

The exhibition Machine Learning examines the relationship between abstraction and the information age, and presents four artists making new forms of pattern-based painting. The exhibition raises multiple questions.  How has abstraction responded to the irresistible siren call of the Internet?  How has abstraction digested the appearance, logic, and behavior of the Internet?  And finally, with every conceivable kind of information now available at the click of a mouse, what are contemporary abstract artists’ core concerns?

The exhibition will later travel to Gallery Sonja Roesch in Houston, TX.  A catalog accompanied the exhibition.

Machine Learning is a sponsored project of the New York Foundation for the Arts.  The exhibition, tour, and catalog are made possible by grants from the Wolf Kahn & Emily Mason Foundation, The Golden Rule Foundation, and Louise & Anne Abrons Foundation.

Intelligent Design, by John Goodrich, New York Sun, December 27, 2007