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Global AI Adoption in 2025 – AI Economy Institute - Microsoft

The National ·

The AI Economy Institute and Microsoft have released a report, "Global AI Adoption in 2025", examining the projected state of AI adoption across different sectors. The report uses survey data and economic modeling to forecast AI's impact on productivity and employment. It identifies key barriers to adoption and provides recommendations for policymakers and business leaders. Why it matters: The report offers insights into the future trajectory of AI in the global economy, including the Middle East, helping stakeholders prepare for and capitalize on AI-driven transformation.

KAUST secures expertise from University of Oxford

KAUST ·

KAUST has appointed Dr. Donal Bradley, currently the dean for science and engineering at the University of Oxford, as its new vice president for research. Bradley, a fellow of the Royal Society, has over 630 publications and a Google Scholar h-index of 125. He previously served as VP for research at Imperial College London and brings experience in technology development, including co-founding Cambridge Display Technology Ltd. Why it matters: This appointment signals KAUST's continued commitment to attracting top international talent to drive its research and development efforts in science and engineering.

Saudi workforce confidence redefines the future of work - Saudi Gazette

Saudi Gazette ·

A recent survey by Oxford Economics and Oracle indicates that Saudi Arabian workers are highly confident in using AI to enhance their skills and careers. 86% of Saudi respondents believe AI will have a positive impact on their jobs, and 84% are ready to learn new skills to work with AI. This reflects a strong embrace of AI in the Saudi workforce and a willingness to adapt to evolving job roles. Why it matters: This positive sentiment suggests Saudi Arabia is well-positioned to integrate AI into its economy and workforce as part of its Vision 2030 goals.

Machine Learning Risk Intelligence for Green Hydrogen Investment: Insights for Duqm R3 Auction

arXiv ·

This paper introduces an AI-driven decision support system for green hydrogen investment in Oman, specifically for the Duqm R3 auction. The system uses publicly available meteorological data to predict maintenance pressure on hydrogen infrastructure, creating a Maintenance Pressure Index (MPI). This tool supports regulatory oversight and operational decision-making by enabling temporal benchmarking against performance claims.

Accelerating innovation through the digital economy

KAUST ·

Dr. Ian Campbell, formerly Executive Chair of Innovate UK, has joined KAUST as Executive Director – Special Projects. He will work to leverage KAUST's science and innovation to impact opportunities across Saudi Arabia. Campbell's prior role involved supporting UK companies with £1.8 billion annually and securing £750 million for COVID-19 response. Why it matters: The appointment signals KAUST's continued focus on translating research into real-world impact and fostering collaborations to address Kingdom-wide challenges, leveraging expertise from a seasoned innovation leader.

Omantel launches O tech to drive Oman’s digital transformation - Oman Observer

Oman AI ·

Omantel has launched "O tech," a new entity focused on accelerating Oman's digital transformation. O tech aims to provide innovative solutions and services across various sectors. The initiative is part of Omantel's broader strategy to support Oman's Vision 2040. Why it matters: The launch signals a growing commitment to digital infrastructure and technological advancement within Oman, potentially fostering further innovation and economic diversification.

Graph neural network approach for decentralized multi-robot coordination

MBZUAI ·

Qingbiao Li from the Oxford Robotics Institute is researching decentralized multi-robot coordination using Graph Neural Networks (GNNs). The approach builds an information-sharing mechanism within a decentralized multi-robot system through GNNs and imitation learning. It also uses visual machine learning-assisted navigation with panoramic cameras to guide robots in unseen environments. Why it matters: This research could improve the effectiveness of automated mobile robot systems in urban rail transit and warehousing logistics in the GCC region, where smart city initiatives are growing.