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.
A retired electrician has turned a 6,000-square-foot warehouse into a private museum of vintage roadside neon, and he is now opening it to the public one Saturday a month.
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.
A retired electrician has turned a 6,000-square-foot warehouse into a private museum of vintage roadside neon, and he is now opening it to the public one Saturday a month.