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We have 525 Artificial Intelligence PhD Projects, Programmes & Scholarships

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Artificial Intelligence PhD Projects, Programmes & Scholarships

We have 525 Artificial Intelligence PhD Projects, Programmes & Scholarships

Chess as a platform for inherently interpretable AI research

About the Project. The way in which AI systems make decisions is often different from the approach a human takes. Thus, the operation of an AI system may be difficult to interpret and learn from, and poses the problem of user trust. Read more

Analysing trends in belief systems on social media

About the Project. It is assumed in the literature that over the last 30 years there has been a shift in people's fundamental belief systems, away from traditional enlightenment values (universality, free speech, individualism) towards applied post modernism. Read more

Enhancing Credibility Assessment in Information Systems through Few-Shot Learning

Aim and Goals. This project proposal seeks to innovate at the intersection of few-shot learning and credibility assessment in information systems (including recommender systems), leveraging the scarcity of data to enhance the trustworthiness and reliability of such platforms. Read more

Influence Maximisation and Counter-Narratives for Mitigating Harmful Viral Posts in Social Networks

Aim and Goals. The core objective of this PhD research project is to delve into the intricacies of Influence Maximization (IM) within social networks, thereby identifying influential users capable of spreading messages effectively across these platforms. Read more

Enriching Music Libraries [SELF-FUNDED STUDENTS ONLY]

  Research Group: Visual Computing
Project description. Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

Enriching Music Libraries

  Research Group: Visual Computing
Project description. Music is an important phenomenon in human civilization, about which we understand surprisingly little. The information contained in musical scores is the central resource for musicological research, performers, composers, and librarians. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification [SELF-FUNDED STUDENTS ONLY]

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Quantum Leap in Medical Diagnosis: Advanced Magnetic Resonance Spectroscopy for Metabolite Quantification

Magnetic resonance spectroscopy (MRS) offers a powerful, non-invasive window into the body's biochemistry. By analyzing the unique spectral signatures of small molecules called metabolites, involved in essential cellular processes, MRS has the potential to revolutionize disease diagnosis. Read more

Computational methods for medical image analysis: Foundation models, Generative models and Multimodal Learning

The field of medical imaging and precision medicine has seen remarkable advancements in recent years, driven by the potential of artificial intelligence (AI) technologies, such as generative models, foundation models, multi-modal learning algorithms, and large language models. Read more

Developing an Artificial Intelligence (AI)-based self-training platform for laparoscopic surgery.

Various research throughout the years have been devoted to exploring different and more effective ways of training for laparoscopy, within the conventional frameworks of using box trainers and virtual reality simulators. Read more

State estimation for fault diagnosis and fault-tolerant control of redundant robotic systems

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Efficient and scalable consensus algorithms for decentralised cryptocurrencies

A decentralised cryptocurrency, such as Bitcoin invented by Satoshi Nakamoto, is a digital currency that can be transferred between users in a peer-to-peer manner without a centralised authority such as a Bank. Read more

Argumentative Machine Learning

Project description. AI has made significant progress in recent years and has become a part of our daily lives, for instance in the form of virtual assistants, smart homes, and advanced driver assistant systems in cars. Read more

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