Recently interest in antimatter research has increased as facilities such as CERN have succeeded in trapping antimatter atoms to study their properties [1].
Antimicrobial resistance (AMR) is rising to dangerously high levels in all parts of the world. In Europe alone, drug-resistant bacteria are estimated to cause 25,000 deaths annually and cost more than US$1.5 billion every year in healthcare expenses and productivity losses.
Antimicrobial resistance (AMR) is rising to dangerously high levels in all parts of the world. In Europe alone, drug-resistant bacteria are estimated to cause 25,000 deaths annually and cost more than US$1.5 billion every year in healthcare expenses and productivity losses.
Many tasks once performed by humans are now carried out by autonomous artificial intelligence systems. An important aspect of such systems is their accountability, that is, how their decisions and behaviours can be recorded, scrutinised and, if necessary, revised.
This project will investigate how agents operating as part of a group should learn behaviours that benefit the group as a whole. These behaviours are commonly referred to as norms, and describe obligations, permissions and prohibitions on actions in specific contexts.
According to the national statistics, approximately 1 in 4 people in the UK will experience a mental health problem each year. In England, 1 in 6 people report experiencing a common mental health problem (such as anxiety and depression) in any given week.
he problem. Machine learning systems are effective at learning from scratch, but it is not clear how to reuse the knowledge they have learned for another purpose.
