5G has expanded the traditional focus of wireless systems to embrace two new connectivity types: ultra-reliable low latency and massive communication. The technology context at the dawn of 6G is different from the past one for 5G, primarily due to the growing intelligence at the communicating nodes. This has driven the set of relevant communication problems ...
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...
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...
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.