In this case study, we hear from Christos Baziotis, from Edinburgh, who has been making use of Baskerville to enable his research in text generation using machine learning models. I am a (3rd) final year Ph.D. candidate at the ILCC at the University of Edinburgh and a member of EdinburghNLP under the supervision of Barry Haddow and Alexandra Birch, in collaboration with Biao Zhang. In … Continue reading “Baskerville pushes the boundaries”
Category: User case study Baskerville
Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach
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”
High-resolution medical scans & Baskerville
In this case study, we hear from Xi Jia, who is doing a Ph.D. in the School of Computer Science. Xi has been making use of BEAR’s Baskerville GPU cluster to dramatically reduce the time it takes to train deep-learning models for medical image registration. I am a fourth-year PhD student, from the School of … Continue reading “High-resolution medical scans & Baskerville”