arXiv ·
MBZUAI researchers have introduced MIRA, a novel framework for improving the factual accuracy of multimodal large language models in medical applications. MIRA uses calibrated retrieval to manage factual risk and integrates image embeddings with a medical knowledge base for efficient reasoning. Evaluated on medical VQA and report generation benchmarks, MIRA achieves state-of-the-art results, with code available on GitHub.
KAUST ·
The Red Sea Development Company (TRSDC) and KAUST have signed a Master Research Agreement (MRA) to collaborate on sustainability research. Prior collaborations included flora and fauna assessments and the Brains-for-Brine Challenge. The MRA focuses on marine environments, waste management, food production, energy conservation, and carbon sequestration. Why it matters: This partnership aims to develop regenerative tourism practices, preserve the Red Sea's biodiversity, and establish a model for sustainable tourism in the region.
KAUST ·
KAUST and Boeing renewed their Master Research Agreement (MRA) on September 1. The agreement aims to boost collaborative research on next-generation aerospace technologies. The renewed MRA signifies a continued partnership between the Saudi university and the American aerospace company. Why it matters: This agreement can foster innovation in aerospace within Saudi Arabia and aligns with the Kingdom's broader technology development goals.
TII ·
The Advanced Materials Research Center (AMRC) held its second Board of Advisors meeting on November 23, 2021. Board members from Khalifa University, University of Sheffield, City University Hong Kong, Ludwig Maximilians Universität München, and Instituto Superior Técnico provided feedback on AMRC’s strategic plans. The meeting focused on AMRC’s strategic growth and future directions. Why it matters: The meeting indicates continued investment in advanced materials research in the UAE, signaling potential advancements in related technological applications.
arXiv ·
Researchers from MBZUAI have developed MMRINet, a Mamba-based neural network for efficient brain tumor segmentation in MRI scans. The model uses Dual-Path Feature Refinement and Progressive Feature Aggregation to achieve high accuracy with only 2.5M parameters, making it suitable for low-resource clinical environments. MMRINet achieves a Dice score of 0.752 and HD95 of 12.23 on the BraTS-Lighthouse SSA 2025 benchmark.
TII ·
Three researchers from the UAE's Advanced Materials Research Center (AMRC) are pursuing advanced degrees at the University of Manchester through the Advanced Technology Research Council’s NexTech program. Shamma Alhashmi is pursuing a PhD in chemical engineering, while Mohamed Alnuaimi and Omar BaNabila are working towards master's degrees in Advanced Engineering Materials. Their research focuses on nanomaterials, piezoelectrics, and material damage analysis, respectively. Why it matters: This initiative demonstrates the UAE's investment in STEM education and aims to enhance domestic research capabilities in advanced materials by providing international training opportunities for promising Emirati researchers.