X-ray fluorescence (XRF) analysis of art objects has rapidly gained popularity since the late 2000s due to its increased accessibility to scientists. This introduced an imaging component whereby the XRF image volume provides clues as to which chemical elements are present and where they are located spatially in the object. However, as is the nature of collec...
Empirical research in science and the humanities is vulnerable to bias which, by definition, implies incorrect or misleading findings. Artificial intelligence-based analysis of visual artworks is vulnerable to bias in ways specific to the domain. Works of art belong to a distinct cultural category that often prioritizes such characteristics as hand-craftsman...
As a conservator specializing in paintings, I first got in contact with machine (deep) learning in 2015, when I was working as part of a team of conservators from the Royal Institute for Cultural Heritage (KIK-IRPA) restoring the Ghent Altarpiece (1426) by the van Eyck brothers.
It is already winter in the Northern Hemisphere, and I cannot believe how fast this year is going by. This is my second column, which traditionally congratulates on awards and highlights new initiatives.
Quantum information was once a niche domain focused on foundational questions. It has grown into a broad research area with industrial, academic, and national research efforts around the world, but many foundational questions remain. The special issue papers consider cryptography and error correction from the viewpoint of quantum information and computation.