MBZUAI and MIT Schwarzman College of Computing have launched a collaborative research program to advance AI across scientific discovery, human thriving, and planetary health. The program will involve faculty, students, and research staff from both institutions, with projects jointly led by principal investigators from each. The collaboration aims to strengthen AI foundations and accelerate its application to pressing societal challenges, aligning with both MIT's goals and the UAE's mission to become a global AI innovation hub. Why it matters: This partnership between a leading UAE AI university and a top US institution will foster impactful AI research and development, contributing to both regional and global advancements in the field.
SEHA and MBZUAI have signed an MoU to integrate AI into medical care and enhance clinical expertise. They will collaborate on AI-driven solutions for quantifying COVID-19 infection severity and study its long-term impact on UAE residents. The partnership will also focus on diagnosis and treatment methods for acute kidney injury, coronary artery disease, fetal health, and AI-driven point of care ultrasound. Why it matters: This collaboration between a major healthcare provider and an AI university in the UAE could lead to advancements in AI-driven healthcare solutions and improve patient outcomes.
Timothy Baldwin, president of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), expressed optimism about the Middle East's potential to become a significant player in AI, while acknowledging the current dominance of the US and China. He emphasized the importance of strategic investment and talent development to bridge the gap. Baldwin highlighted MBZUAI's role in fostering local AI expertise and contributing to the region's AI ecosystem. Why it matters: The growth of AI in the Middle East hinges on developing local talent and infrastructure to compete globally.
Timothy Baldwin, president of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), expressed optimism about the Middle East's potential to become a significant player in AI. He noted the region's strategic investments and focus on AI development. Baldwin acknowledged that while the Middle East currently lags behind other regions, it has the resources and vision to close the gap. Why it matters: The president's statement highlights the growing ambition and commitment within the Middle East to establish itself as a global AI hub.
MBZUAI's Women in AI (WAI) club, founded by master’s students Asma Hashmi and Ameera Bawazir, aims to increase female representation in AI at MBZUAI and the UAE. The club aligns with the International Day of Women and Girls in Science, addressing the underrepresentation of women in AI globally (22%). MBZUAI reports 31% female students in its first cohort and hopes to increase this, supported by faculty like Prof. Najwa Aaraj. Why it matters: This initiative highlights efforts to close the gender gap in AI within the UAE's leading AI university, fostering a more inclusive and diverse tech ecosystem.
Microsoft Azure AI CTO Dr. Xuedong Huang will speak at the MBZUAI Executive Program on AI-powered communications. Huang will share his experience in advancing Microsoft's AI stack, from deep learning infrastructure to new user experiences. He has over 170 U.S. patents and has contributed to speech technology, including Windows SAPI and Azure Speech. Why it matters: This talk can help foster knowledge transfer and collaboration between a global AI leader and the UAE's flagship AI university.
MBZUAI has opened admissions for its M.Sc. and Ph.D. programs in computer vision and machine learning for the Fall 2021 semester. The university previously extended offers to 100 students for its first academic year commencing in January 2021, drawing from 2,223 applicants of 97 nationalities. MBZUAI has also completed its Masdar City campus, secured accreditation, appointed faculty, launched webinars, and formed partnerships with organizations like Virgin Hyperloop. Why it matters: As the first AI-focused graduate university in the UAE, MBZUAI is positioned to develop AI expertise and drive innovation aligned with the country's industrial and economic goals.
MBZUAI's president Eric Xing warns against the unchecked pursuit of increasingly large AI models, drawing an analogy to an "atomic bomb" due to the unpredictability of their behavior. He argues that the field lacks sufficient understanding of what these models learn and whether their outputs are reliable, advocating for more efficient models. Xing emphasizes the need for debuggability and error tracking in AI, similar to established engineering practices. Why it matters: The piece highlights growing concerns within the AI community about the scalability and potential risks associated with increasingly complex AI models, particularly regarding transparency and control.