School of Computer Science and Statistics
Concept inventories are research-based multiple-choice tests that are used in educational settings to measure a student’s knowledge of a set of concepts while also capturing conceptions and misconceptions they may have about the topic under consideration. They provide useful information for students, lecturers and educational researchers. For example, they can provide lecturers with a measure … Read more
Federated learning is used in distributed collaborative networks where multiple clients coordinate to train AI models without the need to share raw data. This is advantageous in a number of settings; for example; in health care where there are privacy/ethical issues associated with sharing data across multiple sites and in IoT networks where the sharing … Read more
The advent of IoT devices led to the creation of many different, distributed machine learning techniques to identify patterns and make logical decisions based on the large volumes of data generated. Traditionally, these devices readily shared their raw data with a centralised server. However, this sharing of raw data is not conducive to maintaining the … Read more
Multipliers can be relatively large pieces of hardware. We can multiply two n-bit integers with a simple long multiplication algorithm using a sequence of n n-bit additions. If we want to do the multiplication in a single cycle, we will need O(n^2) gates to do all the n-bit multiplications in one cycle. There are faster … Read more
The Sustainable Energy Authority of Ireland (SEAI) commissioned a national survey of the attitudes of people who live near to 50 new commercial solar or wind farm projects in Ireland. The survey was conducted in 2022. Findings of the survey are available at: https://www.seai.ie/community-energy/enabling-framework/impacts-research/index.xml The data are available through ISSDA: https://www.ucd.ie/issda/data/seaiattitudeswindsolarpower/. This project aims to … Read more
Auditory communication has a central role in our society. However, it remains unclear how our brains allow us to understand complex sounds, such as speech and music. The use of machine learning methods to study neural data has recently led to a major paradigm shift, greatly advancing our understanding of auditory perception. The Di Liberto … Read more
With tools such as Transkribus (https://www.transkribus.org/) and eScriptorium (https://www.sofer.info/), AI-based image processing techniques are unblocking what has been a hugely expensive and time-intensive process of turning historical documents into machine readable transcriptions, in a manner that enables a scaling up of the process.The next problem that then needs to be tackled is how to support … Read more
https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/projects/Wind%20Turbine%20Predictive%20Maintenance%20Using%20Machine%20Learning
The EU data governance act provides for independent data intermediaries [1], and this allows for more democratic control over collections of shared personal data, e.g. from clinical trials or smart cities, to support new research and innovation activities. Setting these rules in collaboration with other users in order to share understanding of risks may help … Read more
The massive step up in how Large Language Model can generate convincing and often accurate content based on simple prompts has come as an unanticipated challenge to itching and learning in universities. While the reaction to date has focussed on how to address the risks of LLM being used for plagiarism, less focus has been … Read more