With the rapid development of 5G and AI integrated microchip techniques, effective edge computing become feasible. Edge computing is an emerging technique that aims to perform powerful AI computing in distributed AI-chip-enabled sensors/agents.
A computationally expensive industrial/physical process is often treated as a black-box system, which can only be observed in terms of its (limited number of) inputs and outputs without knowing its internal mechanism.
Around a third of the world’s carbon emissions come from providing energy to heat, cool and power our buildings. Better demand-side management could help balance the load and therefore moderate energy use.
This inter-disciplinary project investigates the use of algorithms for coding, labelling and extracting information from the images used by political actors and interest groups in online political communication.
This inter-disciplinary project critically investigates the design and deployment of machine-learning in governing migration. Machine-learning has become a commonplace aspect of how migrants are governed.
Criminal justice agencies have been relatively early adopters of artificial intelligence systems. Amongst the most ambitious — and potentially controversial — experiments have involved using data-driven algorithms to make decisions about remand, court rulings, and sentencing.
Student sought with an interest in understanding the impact of Information Communication Technology (ICT) generally and Artificial Intelligence (AI) in particular on contemporary economies, political systems, and societies.
The ESPRC doctoral training Centre for Digital Entertainment (CDE) is seeking candidates of academic excellence to undertake fully-funded research in computer games, animation, visual effects, and other topics in the graphics/vision area.