AI in healthcare and medical imaging has developed rapidly over the last decade. This course presents the basic elements of Artificial Intelligence (AI) in the context of Radiography. It will offer you some background knowledge on all key contemporary AI topics and how these can affect your professional practice and workflow. This is one of the first AI courses designed specifically for the Radiography workforce, and is integral in understanding and managing future changes in practice as it covers all modalities of Radiography. This course is for recent radiography graduates, clinical practitioners, radiology managers, radiography researchers and educators who wish to further their understanding of the basic principles and applications of AI in Radiography and Medical Imaging. This is the first course of its kind for radiographers in the UK and Europe, and its key takeaway is the ability to understand and manage future changes in radiography practice.

In 2014, Yuval Noah Harari's life changed completely. The little-known academic was thrust into the international literary spotlight when his book on the history of humans from the discovery of fire to modern robotics, Sapiens, was translated into English. Then-US President Barack Obama said the book gave him a new perspective on "the core things that have allowed us to build this extraordinary civilisation that we take for granted". It went on to sell more than eight million copies worldwide. "I still see myself as a historian," says Harari. "I don't think that historians are experts in the past, historians are specialists in change and how things change and we learn the nature of change by looking at the past."

There are abounding misconceptions about what exactly blockchain technology is, and to a lesser extent, what AI technology does. Many experts are already predicting that the two technologies combined could prove formidable, efficient, and ultimately beneficial, and here's why. The technologies themselves are in the early stages of exploration, and the overlap between the two at the moment is mostly theoretical, which is precisely why combining the abilities of both allows each to be further strengthened. We have blockchain tech's promise of near-frictionless value exchange and artificial intelligence's ability to accelerate the analysis of massive amounts of data. The joining of the two could mark the beginning of an entirely new paradigm.

Constraint programming is a successful technology for solving combinatorial problems modeled as constraint satisfaction problems (CSPs). Many real life problems come from uncertain and dynamic environments, which means that the initial description of the problem may change during its execution. In these cases, the solution found for a problem may become invalid. The search of robust solutions for dynamic CSPs (DynCSPs) has become an important issue in the field of constraint programming. In this paper we reformulate DynCSPs withlinear constraints as weighted CSPs (WCSPs), and we present an approach that searches for robust solutions in problems without associated information about possible future changes. Thus, the best solution for a modeled WCSP will be a robust solution for the original DynCSP.