A ceramics conservator in Los Angeles is using ultraviolet fluorescence imaging to detect restoration work invisible to the naked eye, and the results are unsettling the market.
Two mid-size auction houses are testing machine-learning tools that generate lot descriptions from photographs, cutting cataloging time by as much as 60 percent.
A ceramics conservator in Los Angeles is using ultraviolet fluorescence imaging to detect restoration work invisible to the naked eye, and the results are unsettling the market.
Two mid-size auction houses are testing machine-learning tools that generate lot descriptions from photographs, cutting cataloging time by as much as 60 percent.