Statistical modelling to map and measure crimes against women and children

In this case study, we hear from Dr. Rowland Seymour (Mathematics), who has been making use of help from the BEAR software group to enable his research into safeguarding women. I’m an Assistant Professor in Mathematics and my research involves developing statistical tools to map and measure crimes, such as human trafficking and violence against women … Continue reading “Statistical modelling to map and measure crimes against women and children”

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Baskerville pushes the boundaries

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”

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Street-scale resolution air quality modelling for the West Midlands

In this case study, we hear from Dr Jian Zhong (Geography, Earth and Environmental Science), who has been making use of BlueBEAR to enable his research in air quality modelling.   I am a Research Fellow in Urban Air Quality Modelling in the Geography, Earth & Environmental Science. My research has focused on urban air quality modelling, urban … Continue reading “Street-scale resolution air quality modelling for the West Midlands”

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Crystal structures in the BEAR Cloud

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”

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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”

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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”

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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 )”

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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”

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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”

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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….”

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