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
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
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
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
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
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
Tidal turbines could provide over 10% of the UK’s electricity, but issues with reliability and cost are hampering their commercial viability. Read more
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
Tactile perception of graphical information has offered great potential in creating sensory substitution for the benefit of various applications. Read more
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
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
Deep neural networks have recently emerged as promising contenders for efficiently solving partial differential equations (PDEs) and ordinary differential equations (ODEs). Read more
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
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
Create your myFindAPhD account to add this PhD to your shortlist to register for this event to receive updates on upcoming events
Due to your Facebook privacy settings, we were unable to create your account at this time. Please select another method to sign up.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
We were unable to log you in with your Google account at this time. If you have third-party cookies blocked, please enable them, refresh, and try again.
Continue with Facebook
Looking to list your PhD opportunities? Log in here.