Researchers investigated reinforcement learning (RL) for adaptive traffic signal control at an urban intersection in Kuwait, aiming to mitigate urban traffic congestion. They developed a Proximal Policy Optimization (PPO)-based controller that dynamically adjusts green-phase durations using local traffic states in a realistic simulation environment informed by real-world Kuwaiti traffic data. The controller reduced average vehicle delay by 46% relative to fixed-time control and 34% relative to actuated control, while also lowering per-vehicle CO2 emissions by approximately 23%. Why it matters: This demonstrates a practical, learning-based edge traffic signal control solution for IoT-enabled smart city transportation systems, offering significant improvements in traffic flow and environmental impact for car-dependent cities in the Middle East.
The Arab Center Washington DC released an analysis titled 'The Landscape of Surveillance in the Gulf: Smart Cities, Silent Controls.' This report explores the various forms and impacts of surveillance technologies deployed within smart cities across the Gulf region. It examines the mechanisms through which these systems facilitate 'silent controls' over urban populations. Why it matters: This publication offers a critical perspective on the intersection of advanced technology, urban development, and social control in the Middle East, highlighting significant policy and ethical considerations.
This research paper identifies an accountability deficit for autonomous AI agents operating in smart city critical infrastructure under the EU AI Act, noting that specific provisions exclude safety-component AI from certain explanation rights and impact assessments. It proposes AgentGov-SC, a three-layer governance architecture specifying 25 measures, 5 conflict resolution rules, and an autonomy-calibrated activation model, with bidirectional traceability to established AI frameworks. A scenario analysis traces the governance activation through a multi-agent corridor cascade involving documented UAE smart-city systems. Why it matters: This paper addresses a significant regulatory gap in AI governance for complex, multi-agent systems in critical urban infrastructure, offering a novel architectural solution highly relevant to global smart city initiatives, including those in the Middle East.
Technology Innovation Institute (TII) and Qualcomm Technologies are collaborating to advance edge-AI and autonomous solutions. The partnership will combine TII's robotics expertise with Qualcomm's edge-computing platforms to develop intelligent systems for complex environments. TII will explore Qualcomm's Dragonwing IQ9 and IQ10 platforms to build robots for sectors like energy, mining, construction, and smart cities. Why it matters: This collaboration strengthens the UAE's position in developing advanced autonomous systems and edge-AI technologies for critical industries, fostering innovation and economic growth.
OMODA and JAECOO, automotive brands under Chery Automobile, are positioning their AiMOGA robots and VPD smart mobility technologies for deployment in the UAE. The companies presented these solutions as key enablers for the development of future smart cities within the Emirates. This initiative highlights their vision for integrating advanced artificial intelligence and autonomous systems into urban infrastructure. Why it matters: This demonstrates how international automotive and technology firms are aligning their AI and robotics innovations with the UAE's strategic goals for smart urban development.
Saudi Arabia is expanding its use of artificial intelligence to enhance services for Hajj pilgrims. This initiative aims to improve various aspects of the pilgrimage experience, including logistics, crowd management, and personalized guidance systems. The deployment leverages advanced technologies to ensure a smoother, safer, and more efficient journey for the millions of visitors. Why it matters: This showcases the Kingdom's commitment to integrating advanced technology for large-scale public service and its potential for broader application in smart city initiatives and major event management.
The AI and Digital Science Research Center (AIDRC) at TII collaborated with MBZUAI and Kuwait College of Science and Technology (KCST) on an IEEE Network magazine paper. The paper, titled ‘Realizing the Tactile Internet through Intelligent Zero Touch Network,’ addresses technological advances in Tactile Internet, proposing intelligent solutions at the network edge. It analyzes technical issues and proposes a zero-touch networking approach for applications like haptics and industrial automation. Why it matters: The research provides a key reference for using AI to support Tactile Internet services in the UAE and GCC, crucial for smart cities, healthcare, and automation.
Saudi Arabia is making significant strides in advancing its national AI capabilities, driven by substantial investments and strategic initiatives. The Kingdom aims to become a leader in AI research and development, focusing on key sectors like healthcare, energy, and smart cities. This push includes fostering local talent, attracting international collaborations, and establishing a robust regulatory framework for AI ethics and governance. Why it matters: These efforts signal Saudi Arabia's commitment to diversifying its economy and leveraging AI to achieve its Vision 2030 goals, potentially positioning it as a key AI hub in the Middle East.