Researchers at MBZUAI have introduced MedMerge, a transfer learning technique that merges weights from independently initialized models to improve performance on medical imaging tasks. MedMerge learns kernel-level weights to combine features from different models into a single model. Experiments across various medical imaging tasks demonstrated performance gains of up to 7% in F1 score.
Abu Dhabi's cybersecurity group CPX is set to merge with AI firm Core42, creating a potentially dominant entity in the UAE's digital security landscape. This consolidation raises concerns among smaller cyber providers who fear being squeezed out of the market. CPX's existing government contracts, combined with Core42's AI capabilities, could create an unfair competitive advantage. Why it matters: The merger highlights the UAE's strategy to centralize its AI and cybersecurity capabilities, but also raises questions about market competition and the role of smaller players in the country's tech ecosystem.
CPX and Core42, two significant entities based in Abu Dhabi, UAE, are reportedly planning a merger. CPX is a prominent cybersecurity and intelligence firm, while Core42 serves as an AI and cloud computing arm of G42. This proposed consolidation has reportedly generated apprehension among existing cybersecurity providers in the region. Why it matters: This strategic merger could profoundly reshape the competitive landscape for AI and cybersecurity services in the UAE, reflecting broader national efforts towards technological integration and self-reliance.
Researchers at MBZUAI introduce FissionFusion, a hierarchical model merging approach to improve medical image analysis performance. The method uses local and global aggregation of models based on hyperparameter configurations, along with a cyclical learning rate scheduler for efficient model generation. Experiments show FissionFusion outperforms standard model souping by approximately 6% on HAM10000 and CheXpert datasets and improves OOD performance.