In this case study we hear from Tuo Zhang, a researcher working in Machine Learning, who has been using BlueBEAR to run large-scale simulations of multi-agent reinforcement learning (MARL) algorithms. His research focuses on understanding how learning agents behave when interacting with each other in complex and changing environments. In many real-world systems, decision-making is not performed … Continue reading “Understanding multi-agent learning through large-scale simulations”
Tag: storage
Modelling Birmingham’s Cultural Ecology and Urban Oral History Using BlueBEAR
In this case study, we hear from Jack (Wei-Chieh Tsai), a doctoral student from History of Art and Geography who examines how cultural intermediaries, including artists, curators, and cultural organisations, have contributed to urban development. My PhD research examines the role of artistic interventions in transforming post-industrial Birmingham between 1986 and 2016. The project examines how cultural … Continue reading “Modelling Birmingham’s Cultural Ecology and Urban Oral History Using BlueBEAR”
Cooling works in data centre – upcoming service disruption
Update – 16:17 on Friday 17 April, 2026 The cleaning of the cooling system is now complete. The effort required to get all the parties involved was a mammoth task which was admirably managed by our AIS (systems teams). The maintenance was essential to ensure optimal performance and longevity of equipment. Particularly given the imminent … Continue reading “Cooling works in data centre – upcoming service disruption”
The value of version control
The Research Software Group’s mission is rooted in the observation that most current research requires software, often written by researchers themselves, and that the application of a few core software engineering principles leads to more effective research. This is neatly captured by the Software Sustainability Institute‘s tag line: “better software, better research”. A core technology … Continue reading “The value of version control”
Investigating the Alternative Lengthening of Telomeres (ALT)
In this case study we hear from Ronan and Anubrata, both research staff in Cancer and Genomic Sciences, who have been using BlueBEAR to find therapeutic targets and biomarkers for the diagnosis of ALT-reliant cancers such as high-grade glioma. Our lab is investigating the Alternative Lengthening of Telomeres (ALT) process; a molecular mechanism used by … Continue reading “Investigating the Alternative Lengthening of Telomeres (ALT)”
Energy Data Landscape – Challenges and Opportunities
Edward Barbour and Grant Wilson, Associate Professors in Chemical Engineering, explored detailed domestic heat pump demand data and became interested in their operational costs under different energy tariffs. They quickly discovered that tariff data was difficult to obtain and compare across different suppliers. With help from Mingxue (Jean) Du, a Research Software Engineer, they identified … Continue reading “Energy Data Landscape – Challenges and Opportunities”
SMLM Data Exploration with Nano-org and BlueBEAR
This case study highlights the ongoing collaboration between the Research Software Group, Professor Dylan Owen, and Dr Sandeep Shirgill in the development of Nano-org. Nano-org has recently been published in Nature Communications. Nano-org uses ultra-precise coordinate data to represent the nanoscale distributions of individual proteins within cells. The unique functionality provided by Nano-org supports a … Continue reading “SMLM Data Exploration with Nano-org and BlueBEAR”
How green is the BEAR? 2025 updates
In 2022, we took part in the University’s Sustainability Town Hall and published a blog post highlighting Advanced Research Computing’s efforts in sustainable computing over the previous decade. Since then, we’ve continued to explore and develop initiatives in this space. With growing concerns around the energy demands of data centres – such as a recent … Continue reading “How green is the BEAR? 2025 updates”
Bayesian Modelling of Rising Decision Thresholds in DDMs using BlueBEAR
In this case study we hear from Sophie Wetz, a Masters student in Psychology, who has been using BlueBEAR to investigate whether a dynamic, rising boundary improved the fit of the full Drift Diffusion Model (DDM) to Random Dot Kinematogram (RDK) task data. I’m a Master’s student on the Computational Neuroscience stream in the School … Continue reading “Bayesian Modelling of Rising Decision Thresholds in DDMs using BlueBEAR”
Atomic Simulation to Build Better Batteries
In this case study we hear from Oskar Soulas, a PhD student in Chemistry, who has been using BlueBEAR to investigate lithium–sulphur–nitrogen solid electrolytes for next-generation battery technologies. I am a second year PhD student in the Scanlon Materials Theory Group (SMTG) based at the University of Birmingham. The group uses powerful computational tools to understand … Continue reading “Atomic Simulation to Build Better Batteries”