Project ID: STAI-CDT-2023-IC-10
Themes: Reasoning
Supervisor: Prof Wayne Luk
Magnetic Resonance (MR)-guided online adaptive radiotherapy has the potential to revolutionise cancer treatment. It exploits soft-tissue contrast of MR images obtained right before patient’s radiation treatment to...
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Project ID: STAI-CDT-2023-KCL-27
Themes: Norms, Reasoning
Supervisor: Yali Du, Albert Meroño Peñuela
Reinforcement learning resembles human learning with intelligence accumulated through experiment. To attain expert human-level performance on tasks such as Atari video games or chess, deep RL systems have required many...
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Project ID: STAI-CDT-2023-IC-4
Themes: Logic, Norms, Reasoning
Supervisor: Pedro Mediano
Neurosymbolic systems seek to combine the strengths of two major classes of AI algorithms: neural networks, able to recognise patterns in unstructured data, and logic-based systems, capable of powerful reasoning. One of the...
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Project ID: STAI-CDT-2023-KCL-25
Themes: Logic, Norms, Reasoning
Supervisor: Yulan He
Recent efforts to Natural Language Understanding (NLU) have been largely exemplified in tasks such as natural language inference, reading comprehension and question answering. We have witnessed the shift of paradigms in NLP...
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Project ID: STAI-CDT-2023-KCL-17
Themes: Logic, Reasoning
Supervisor: Fabio Pierazzi
Data-driven approaches have been proven powerful in a variety of domains, from computer vision to NLP. However, in some domains – such as in attack detection in security – the arms race between...
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Project ID: STAI-CDT-2023-KCL-13
Themes: Reasoning
Supervisor: Carmine Ventre
AI systems often collect their input from humans. For example, parents are asked to input their preferences over primary schools before a centralised algorithm allocates children to schools. Should the AI trust the input...
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Project ID: STAI-CDT-2023-KCL-5
Themes: AI Planning, Argumentation, Norms, Reasoning
Supervisor: Maria Polukarov
The problem of ethical decision making presents a grand challenge for modern AI research. Arguably, the main obstacle to automating ethical decisions is the lack of a formal specification of ground-truth ethical principles,...
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Project ID: STAI-CDT-2022-KCL-9
Themes: Reasoning, Verification
Supervisor: Mohammad Mousavi, Rita Borgo
The main objective of this project is to develop AI techniques to analyse the behaviour recorded in the past Stop and Search (S&S) operations. The AI system will be used to inform future operations, avoid unnecessary...
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Project ID: STAI-CDT-2022-KCL-8
Themes: Reasoning
Supervisor: Frederik Mallmann-Trenn
The rise of fake news and misinformation is a threat to our societies. Even though we are not always able to quantify the effect of misinformation, it is clear that it is polarising the society and often leads to violence...
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