Machine Intelligence & Multi-Agent Systems

The second key skills area is in making machine autonomy and intelligence ubiquitous; allowing machines to discreetly pervade the world around us and assist us. At the heart of this is a scaling issue and the need to coordinate and harness the potential of ubiquitous computational agents to meet the challenges of sustainability, inclusion and safety and to enable effective & seamless machine-to-machine coordination and machine-to-human interaction. The CDT will promote a training foundation for students to inject machine intelligence into real-world applications, such as the critical domains of healthcare, smart grids and energy resources, big data analytics, disaster response, citizen science, human- in-the-loop systems and the environment.