In this case study, we hear from Professor Andrew Morris (School of Metallurgy and Materials), whose research group has been making use of BEAR Cloud to aid discovery. My research group predicts the crystal structure of materials. Experimental discovery of new functional materials can be slow, difficult and expensive. Computational Structure Prediction allows us to … Continue reading “Crystal structures in the BEAR Cloud”
Category: Case study
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”
The saving grace ( well on Git )
In this case study, we hear from Dr Catherine Smith, a Research Fellow and Technical Officer in the Institute for Textual Scholarship and Electronic Editing (ITSEE), who has been making use of BEAR’s code management platform, BEAR GitLab, to enable her to support researchers using online editing tools to transcribe texts. At that time the … Continue reading “The saving grace ( well on Git )”
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”
Predicting weather impacts using GPU-accelerated high-performance computing
You may not be aware, but all researchers at the University of Birmingham can request access to our Tier-2 (national) supercomputer, Baskerville. Dr Xilin Xia from the School of Civil Engineering describes below how Baskerville is essential for his research into predicting flooding… What is your research about? Due to Climate Change, we are seeing … Continue reading “Predicting weather impacts using GPU-accelerated high-performance computing”
Covid made me do it….
In November’s case study, we hear from researcher Gabrela da Silva Xavier who has been making use of BEAR’s storage and data processing power for imaging and RNA-sequencing data, in both her research and teaching… My name is Gabriela da Silva Xavier. I am an Associate Professor based at the Institute of Metabolism and Systems … Continue reading “Covid made me do it….”
Using BEAR to build a database of global forest disturbance data
In the second case study for September, we hear from one of our BEAR Champions, Nezha Acil, about how she has made use of BEAR storage, data processing and our training throughout her PhD, based on studying global forest disturbance data… My name is Nezha Acil and I am part of Thomas Pugh’s TreeMort team … Continue reading “Using BEAR to build a database of global forest disturbance data”
Detecting malware through AI techniques
In September’s case study, we hear from PhD student Daniel Fentham from Computer Science, who has been making use of BEAR’s storage and data processing power, specifically using GPU’s to accelerate his research. The project I’m currently working on is automated malware detection using Graph Neural Networks, which we’ve needed to create an entire pipeline … Continue reading “Detecting malware through AI techniques”
From Image Analysis to ThunderSTORM
In July’s case study we hear from Stanimir Tashev, a PhD student in Cardiovascular Science, who has been making use of BEAR’s storage and data processing power, specifically the BEAR Portal to enable his research… I have been a Ph.D. student in the Herten Lab (@HertenDirk) since 2019 and my project deals with single molecule … Continue reading “From Image Analysis to ThunderSTORM”