Artificial intelligence (AI) technology is sweeping the globe, leading to bold statements by
notable figures:“[AI] is going to change the world more than anything in the history of …

From raw detector activations to reconstructed particles, data at the Large Hadron Collider
(LHC) are sparse, irregular, heterogeneous and highly relational in nature. Graph neural …

In recent years, AI research has become more and more computationally demanding. In
natural language processing (NLP), this tendency is reflected in the emergence of large …

Some enlightenment regarding the project to mechanise reason. The assembly line of
machine learning: data, algorithm, model. The training dataset: the social origins of machine …

As disputes concerning the environment, the economy, and pandemics occupy public
debate, we need to learn to navigate matters of public concern when facts are in doubt and …

This paper focuses on the conception and use of machine-learning algorithms for marketing.
In the last years, specialized service providers as well as in-house data scientists have been …

Inspired by the natural intelligence of humans and bio-evolution, Artificial Intelligence (AI)
has seen accelerated growth since the beginning of the 21st century. Successful AI …

A laboratory study that investigates how algorithms come into existence. Algorithms--often
associated with the terms big data, machine learning, or artificial intelligence--underlie the …

According to Clifford Geertz, the purpose of anthropology is not to explain culture but to
explicate it. That should cause us to rethink our relationship with machine learning. It is, we …

In the past ten years, artificial intelligence has encountered such dramatic progress that it is
now seen as a tool of choice to solve environmental issues and, in the first place …