New Article: “Machine Learning, Archives and Special Collections: A High Level View”
This brief article is an attempt to provide some reasonably sober and concrete sense of what actual and relevant changes might occur within the next decade or so, without going into technical details, and what these changes might imply for the practices of archives and special collections, or cultural memory organizations more broadly.
One of the great, largely unexplored challenges for cultural memory organizations is the extent to which it is advantageous to “customize” or specifically train machine learning on individual collections – an individual’s handwriting, as opposed to Victorian copperplate script broadly; or the set of family members that might likely appear in a collection of photographs. Creating these training sets will be expensive, and the cost and workflow trade-offs will be critical.
Read the Complete Article (1282 words)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.