Duiyi Dai (Claire), a PhD student from the Department of Economics, describes below how BlueBEAR is essential for her research into quantifying Brexit uncertainty, reducing the time spent running her analysis from two months on her own device to just one day! What is your research about? The term “Brexit” was first used in May … Continue reading “Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach”
Category: AI
Machine Learning and AI use in Business & Economics
On the 24th November, Advanced Research Computing (or the BEAR team!) and researchers in the Business School and Economics presented a hybrid 1 hour session around the use of Machine Learning and AI techniques, in relation to their research areas. There was also a short demo on using the BEAR portal for Economics/Business-related software applications … Continue reading “Machine Learning and AI use in Business & Economics”
Baskerville Basics
Baskerville is a GPU-focussed Tier 2 HPC cluster that attracts users from a wide range of disciplines and with varying levels of HPC experience. Since joining the ARC team one of my roles has been helping design a short training course called Baskerville Basics which provides useful information regardless of users’ research disciplines and HPC … Continue reading “Baskerville Basics”
Making Sense of Your Data!
We welcomed a sell-out crowd to our fourth Digital Research Conversation on Tuesday 9th April, to discuss ‘Making Sense of your Data’. After some networking whilst munching on pizza and brownies, it was onto the talks and Nina Vyas from the Dental School introduced us to the use of machine learning for analysing microscopy images. … Continue reading “Making Sense of Your Data!”