We thought it would be really interesting to find out more about our researchers and how they use BEAR services, so what better way to do this than be interviewed by a bear! So, our first interviewees are Professor Dagmar Divjak and Professor Petar Milin from Modern Languages in CAL. Q1 – Tell me about … Continue reading “Bear on Tour!”
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”
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”
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 )”
Graduate Systems Engineer vacancy at UoB
If you want to make a difference and are fascinated by how technology works, come and join a leading team responsible for supercomputing and allied services at the University of Birmingham! The Advanced Research Computing (or BEAR) team is looking for a graduate (recently graduated or in final year of study) to grow into a … Continue reading “Graduate Systems Engineer vacancy at UoB”
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”
BEAR Champion team expansion!
In September 2019, we launched our BEAR Champion scheme to help spread the word about BEAR services, and the team has now expanded to 16 over all 5 colleges – see our list of BEAR Champions. In the last year, we have welcomed 6 new BEAR Champions – at least one from each College: Jack … Continue reading “BEAR Champion team expansion!”
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”