The UAE Government has partnered with Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) to launch a training program for 80,000 federal staff. This initiative focuses on upskilling government employees in Agentic AI technologies. The collaboration aims to enhance national AI capabilities and accelerate digital transformation across federal entities. Why it matters: This major government-led program represents a significant investment in human capital, strategically positioning the UAE to leverage advanced AI for public sector efficiency and innovation.
YOLO26-RipeLoc Lite is a new lightweight deep learning architecture designed for simultaneous detection, ripeness classification, and center-point localization of greenhouse tomatoes for robotic harvesting. The model incorporates a Lightweight Feature Pyramid Network, a Ripeness-Aware Attention Module, and a Compact Detection Head for efficient and precise operation. Evaluated on a custom dataset from the SILAL greenhouse in Abu Dhabi, UAE, it achieved a [email protected] of 92.9% with only 2.38 million parameters, outperforming existing YOLO models in accuracy-efficiency. Why it matters: This research provides an efficient and accurate solution for automating a critical agricultural process, enhancing food security and technological capabilities in the region's greenhouse farming.