When you’ve got a promising research idea but lack the engineering bandwidth to make it production-ready, knowing where to turn can be challenging. Anas Rana, a researcher from the Institute of Cancer and Genomic Science discovered that partnering with dedicated software engineers from the Advanced Research Computing Team (ARC) within IT Services, transformed their exploratory … Continue reading “From Prototype to Proof of Concept: A Research Software Success Story”
Category: User case study BEAR AI
Following ions and electrons through battery materials with BlueBEAR
In this case study, we hear from Alexis Manche, a Research Associate in the Scanlon Materials Theory Group in the School of Chemistry, who uses BlueBEAR to investigate how atomic-scale defects and charge transport affect next-generation battery materials. I am a computational materials chemist working in the Scanlon Materials Theory Group at the University of … Continue reading “Following ions and electrons through battery materials with BlueBEAR”
Beyond the head: tail-aware sperm segmentation using fine-tuned AI computer vision models
In this case study, we hear from Sina Shafiezadeh, a postdoc in the Department of Metabolism and System Sciences, who is working to track and analyse the details of sperm motility from video microscopy. Accurate and informative assessment of sperm motility is essential for diagnosing male infertility and optimising Assisted Reproductive Technologies (ART) such as in vitro fertilisation (IVF). While Computer-Aided Sperm Analysis … Continue reading “Beyond the head: tail-aware sperm segmentation using fine-tuned AI computer vision models”
De Novo Protein Engineering: Future-Proofing MRI Contrast Agents with BlueBEAR
In this case study, we hear from Sarah Berger, a researcher working in Bioinformatics, who has been using BlueBEAR to develop proteins that can bind to metals. Magnetic resonance imaging (MRI) is an essential diagnostic tool, particularly powerful when combined with contrast agents. Most state-of-the-art MRI contrast agents are based on the metal gadolinium, which has intrinsic physical … Continue reading “De Novo Protein Engineering: Future-Proofing MRI Contrast Agents with BlueBEAR”
Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing
In this case study we talk to Asim Abbas, PhD Researcher in Artificial Intelligence (School of Computer Science), who is using BlueBEAR to extract structured information from unstructured and ambiguous tender documents. My research focuses on extracting structured information from unstructured and ambiguous tender documents, whereas these documents present distinctive processing challenges due to their … Continue reading “Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing”