Artificial intelligence (AI) ethics is a field that has emerged as a response to the growing concern
regarding the impact of AI. It can be read as a nascent field and as a subset of the wider …

The publication of the UK’s National Artificial Intelligence (AI) Strategy represents a step-change
in the national industrial, policy, regulatory, and geo-strategic agenda. Although there is …

Systematic trading strategies are algorithmic procedures that allocate assets aiming to optimize
a certain performance criterion. To obtain an edge in a highly competitive environment, …

This paper reviews Artificial Intelligence (AI), Machine Learning (ML) and associated
algorithms in future Capital Markets. New AI algorithms are constantly emerging, with each ‘strain’…

Algorithms are becoming ubiquitous. However, companies are increasingly alarmed about
their algorithms causing major financial or reputational damage. A new industry is envisaged: …

Business psychologists study and assess relevant individual differences, such as intelligence
and personality, in the context of work. Such studies have informed the development of …

Almost all drift detection mechanisms designed for classification problems work reactively:
after receiving the complete data set (input patterns and class labels) they apply a sequence …

This article describes a new type of mobile robot that has a spherical wheel, an arched body,
and motion-controlling mech anisms installed inside the wheel. The robot can travel in …

The basidiomycete Coprinus cinereus has many advantages as a model organism for
studying sexual development and meiosis, but it has been difficult to investigate using reverse-…

Developers proposing new machine learning for health (ML4H) tools often pledge to match
or even surpass the performance of existing tools, yet the reality is usually more complicated. …