The United States is reportedly expanding the UAE's access to advanced artificial intelligence chips, a move seen as a reward for the UAE's military assistance to the US in conflicts related to Iran. This development suggests a strategic quid pro quo where military cooperation influences access to critical high-tech components. The expanded access to AI chips is expected to bolster the UAE's rapidly growing AI sector and its broader technological ambitions. Why it matters: This signifies a major geopolitical alignment between the US and UAE, highlighting how access to advanced AI infrastructure is becoming a strategic tool in international relations and significantly impacting the UAE's national AI development capabilities.
The UAE has issued a warning about an estimated 700,000 daily cyberattacks originating from Iran-linked hackers. These attacks are reportedly targeting the nation's digital infrastructure and various sectors. The warning underscores the persistent and significant cybersecurity threats facing the country. Why it matters: This reflects heightened geopolitical tensions manifesting in the digital domain, emphasizing the critical need for robust national cybersecurity strategies and infrastructure development in the region.
The UAE has announced the development of a new AI chip during a tech summit in Dubai. Details about the chip's specifications, capabilities, or intended applications were not disclosed in the provided article. Why it matters: This announcement signals the UAE's ambition to develop indigenous AI hardware capabilities, reducing reliance on foreign suppliers.
MBZUAI PhD student Salem AlMarri, also a Dubai Police officer, has been appointed to the Dubai Youth Council for 2023-2025. AlMarri's research focuses on using AI to combat crime and improve emergency response times, aiming to contribute to the UAE's AI strategy. In 2019, he was recognized as one of the UAE’s up and coming scientist at the Her Highness Sheikha Fatima Bint Mubarak Program for Excellence and Community Intelligence. Why it matters: This appointment highlights the UAE's focus on empowering young talent in AI to drive innovation and address local challenges in public safety and smart city development.
Salem AlMarri, the first Emirati Ph.D. graduate from MBZUAI, developed a video anomaly detection (VAD) system for his thesis. The VAD system can detect subtle anomalies in video, such as suspicious interactions, to help police prevent crimes and save lives. AlMarri's work was carried out under the guidance of Karthik Nandakumar, Affiliated Associate Professor of Computer Vision at MBZUAI. Why it matters: This research showcases the potential of AI in enhancing public safety and security in the UAE, demonstrating practical applications of computer vision in law enforcement.
A team of MBZUAI graduate students won first place at the UAE University's University Challenge for their SawabAI project, which addresses AI-generated misinformation about climate change. The winning team included Salem Bin Saqer AlMarri, Hanoona Bangalath, and Muhammad Maaz, all Computer Vision Ph.D. students. SawabAI is envisioned as a platform to evaluate the authenticity and source of information, including text, image, and video, to combat fake news. Why it matters: This win highlights the growing importance of AI in addressing misinformation and promoting sustainability in government communication within the region.
MBZUAI students achieved top honors at the 2022 Dubai Roads and Transport Authority’s (RTA) Transport Hackathon. Sultan Abu Ghazal and his team developed Scooty, an app for scooter safety monitoring that rewards users for rule adherence. Muhammad Uzair Khattak led a team that created Salem, a mobile application to monitor motorcycle delivery drivers' safety and reduce traffic infractions by using computer vision and mobile sensors. Why it matters: The hackathon win highlights the practical AI skills being developed at MBZUAI and their application to real-world transportation challenges in the UAE.
Ahmed Sultan Salem, a visiting associate professor of electrical engineering, received the 2017 KAUST Distinguished Teaching Award. Salem was one of six finalists nominated for the inaugural award and has been with KAUST since 2011. He teaches a range of EE and applied mathematics courses and his research interests include energy harvesting and cognitive radio technology. Why it matters: Recognizing teaching excellence can help incentivize high-quality education and mentorship in technical fields crucial for advancing Saudi Arabia's research and development goals.