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UAE's NCM launches first Agentic AI assistants for weather forecasting - Khaleej Times

The National ·

The UAE's National Center of Meteorology (NCM) has launched its inaugural Agentic AI assistants to enhance weather forecasting capabilities. These advanced AI systems are designed to automate and improve the accuracy of meteorological predictions. This initiative aims to provide more precise and timely weather information to the public. Why it matters: This development underscores the UAE's strategic investment in applying cutting-edge AI technologies to critical national services, reinforcing its position as a regional leader in AI integration for public benefit.

UAE's weather body launches country's first Agentic AI assistants for meteorological sector - Gulf Today

The National ·

The UAE's national weather body has launched the country's first Agentic AI assistants specifically designed for the meteorological sector. These AI systems are intended to enhance capabilities in weather forecasting and related operational support. This initiative marks a significant advancement in applying sophisticated AI technologies within the UAE's critical infrastructure. Why it matters: This development positions the UAE at the forefront of leveraging advanced AI for environmental monitoring and public safety, potentially improving resilience against weather-related challenges.

Sharjah Crown Prince orders faster integration of AI assistants in government work - Gulf News

Gulf News ·

The Crown Prince of Sharjah has issued a directive to accelerate the integration of artificial intelligence (AI) assistants into government operations throughout the emirate. This strategic move aims to enhance the efficiency of public services and modernize government workflows. The initiative underscores Sharjah's commitment to leveraging advanced technologies for digital transformation. Why it matters: This directive signifies a concrete step by a major GCC emirate to implement AI solutions across its public sector, potentially serving as a model for broader regional AI adoption in governance.

Spatial AI to help humans and enable robots

MBZUAI ·

Marc Pollefeys from ETH Zurich and Microsoft Spatial AI Lab will discuss building 3D environment representations for assisting humans and robots. The talk covers visual 3D mapping, localization, spatial data access, and navigation using geometry and learning-based methods. It also explores building rich 3D semantic representations for scene interaction via open vocabulary queries leveraging foundation models. Why it matters: Advancements in spatial AI and 3D scene understanding are critical for enabling more capable robots and AI assistants in various applications within the region.