Zayed bin Hamad reviewed Sharjah Police's AI-led anti-drug drive, an initiative leveraging artificial intelligence to combat drug-related activities within the emirate. The review likely focused on assessing the technology's effectiveness and strategic implementation in enhancing public safety. This engagement underscores the ongoing efforts by UAE authorities to integrate advanced AI solutions into critical law enforcement operations. Why it matters: This highlights the increasing application of AI in public safety and law enforcement within the UAE, demonstrating a practical use case for national security and societal well-being.
MBZUAI hosted an AI Talks session featuring Dr. Mohammad Yaqub discussing AI's role in fighting COVID-19 and predicting future pandemics. AI can detect outbreaks by mining news and social media for unusual patterns, as demonstrated by companies flagging pneumonia cases in Wuhan before the official announcement. AI-empowered drug repurposing identified Baricitinib as a potential COVID-19 treatment and can predict virus mutations. Why it matters: This highlights the potential of AI to enhance pandemic preparedness and response in the region, particularly through institutions like MBZUAI.
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.