Technological Revolutions and Art History Part IV: Lightning Rounds I

Presentations in Part IV of the symposium highlight recent computational art history projects and other initiatives that expand the access to and discoverability of the digitized collections of a variety of cultural heritage sites and institutions.

Artificial Intelligence and Cultural Heritage Collections

Welcome and Opening Remarks
Robert Kastler: Director Imaging & Visual Resources, Museum of Modern Art

Convolution as Symbolic Form: Bias in AI and how Art History Can Help
Leonardo Impett: Assistant Professor, Department of Computer Science, Durham University

From Digitization to Automated Condition Surveys
Damon Crockett: Principal Data Scientist, Yale University

WIMSy: Toward AI and Machine Vision Approaches to Watermark Analysis
Paul Messier: Chair, Institute for the Preservation of Cultural Heritage, Pritzker Director, IPCH Lens
Media Lab, Yale University

AI and the Photoarchive
X.Y. Han: Ph.D. candidate in the Department of Operations Research and Information Engineering,
Cornell University
Vardan Papyan: Assistant Professor in the Department of Mathematics, University of Toronto
John McQuaid: Photoarchive Lead, Frick Art Reference Library

Visual Similarity and Artwork Identifiers for the Semantic Web
Lukas Klic: Head of Digital Humanities Research, I Tatti - The Harvard University Center for Italian
Renaissance Studies

From Image to Text: A Quick Tour of OCR
Sofia Ares Oliveira: Machine Learning Research Engineer