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University of Bath, Centre for Accountable, Responsible and Transparent AI PhD Projects, Programmes & Scholarships
We have 39 University of Bath, Centre for Accountable, Responsible and Transparent AI PhD Projects, Programmes & Scholarships
We have 39 University of Bath, Centre for Accountable, Responsible and Transparent AI PhD Projects, Programmes & Scholarships
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Investigating the effects of social media and recommended content on mental health
Social media use has been associated with adverse effects on mental health, though there are various gaps and conflicting findings in the literature. Read more
Understanding large language models
Large language models such as GPT and FLAN are increasingly being used as a foundation in a number of AI applications. They are created by training a machine learning architecture known as a “Transformer” on very large amounts of natural text. Read more
Explainability in Extreme Classification
Classification of data to a few relevant categories selected from an extremely large number of all possible labels, also referred to as Extreme Classification, has found numerous applications including recommendation systems, information retrieval and Question-Answering. Read more
Enhancing ultrasound images using physics-based AI for accurate measurement of blood velocity within the heart
Cardiovascular diseases are the leading cause of death globally with 18 million deaths/year. Ultrasound is an inexpensive, non-invasive imaging technique without ionising radiation and so is widely used in many fields of medicine. Read more
A game theoretical approach to normative multi-agent systems
Multi-agent systems study environments that consist of a number of agents who interact with each other to achieve individual and system goals. Read more
Machine learning transition state geometries
We have an exciting opportunity to work on the development of new transition state prediction methods. Read more
Accountable and responsible automation of craft manufacturing processes
Manufacturing is an obvious domain for the adoption of advanced AI methods. Already, convolutional neural networks are used for image classification to improve quality control and reinforcement learning is used to increase efficiency on production lines. Read more
Artificial intelligence for structural health monitoring of tidal turbines
Tidal turbines could provide over 10% of the UK’s electricity, but issues with reliability and cost are hampering their commercial viability. Read more
Contract Design via Smart Contracts
Algorithmic contract theory is a new research field aiming to align the well-established field of contract theory with the new reality of cryptocurrency-based contracts. Contracts of all types facilitate trust and cooperation among various entities including in multi-agent settings where agents operate in uncertain conditions by employing various AI techniques. Read more
Accountable and responsible logistics optimisation via distributed AI
Logistics is the process of obtaining, transporting, and distributing material and products in proper places and proper quantities. Read more
Data Driven Tactile Displays for Enhanced Perception of Graphical Information
Tactile perception of graphical information has offered great potential in creating sensory substitution for the benefit of various applications. Read more
Driver intention analysis and anomaly detection for human-like automated driving vehicles
Automated driving technology is promising a safer transport future due to its potential to avoid human errors that are currently responsible for most road traffic accidents. Read more
Decoding Speech using Invasive Brain-Computer Interfaces
For individuals who have impaired speech or complete loss of speech as a result of neurodegenerative diseases such as motor neurone disease (MND) or amyotrophic lateral sclerosis (ALS), there is an urgent need to develop revolutionary technologies using the latest advances in automatic speech recognition (ASR) and brain signal processing (BSP). Read more
Reinforcement learning based discovery of numerical algorithms
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
Transparency in neural ordinary differential equations
Neural ordinary differential equations (neural ODEs) are a relatively recent development (. https://arxiv.org/abs/1806.07366). in the field of machine learning, where the hidden state dynamics of certain neural network architectures can be reformulated as numerical solutions of a differential equation. Read more