MBZUAI's Associate Professor of Machine Learning, Gus Xia, will co-teach an introductory AI course with Monojit Choudhury, emphasizing experiential learning and fundamental principles. Xia's background spans computer science, music, and metaphysics, aiming to inspire students to innovate in AI. More than 100 students will join MBZUAI's Bachelor of Science in Artificial Intelligence program. Why it matters: This interdisciplinary approach at MBZUAI could cultivate a new generation of AI researchers with diverse perspectives and innovative problem-solving skills.
MBZUAI Visiting Assistant Professor Gus Xia studies music to understand how AI can act more human-like in high-context activities. Xia analyzes and creates music with computers to explore the differences between human and machine perception. He aims to leverage music's abstract nature to study creative intelligence in AI. Why it matters: This research could lead to AI systems that interact more naturally with humans, particularly in creative fields.
Gus Xia, assistant professor of machine learning at MBZUAI, is exploring how teaching robots music can enhance their interaction with humans. Xia collaborates with robots on musical compositions as part of this research. He also holds affiliations at NYU Shanghai, Tandon, CILVR, and MARL, and has a Ph.D. from CMU. Why it matters: This interdisciplinary approach could lead to more intuitive and empathetic AI systems in the future.
KAUST alumnus Chuan Xia (M.S. '14, Ph.D. '18) is now a postdoctoral fellow at Harvard, researching CO2 capture and conversion into valuable chemicals using renewable electricity. His Ph.D. research at KAUST, under Professor Husam Alshareef, focused on ternary metal sulfides and selenides for energy storage. Xia credits KAUST with providing training in communication, teamwork, and leadership that facilitated his transition to Harvard. Why it matters: The success of KAUST alumni in fields like sustainable energy highlights the university's growing role in addressing global challenges and fostering international research collaboration.
This article summarizes a talk by Erci Xu on doing computer systems research, focusing on idea generation and paper writing. Xu shares experiences on developing research ideas and provides a tutorial on academic writing principles. He has published 20 papers in venues like OSDI, FAST, ATC, and Eurosys and received awards including two FAST Best Paper Awards. Why it matters: The talk and summary offer valuable guidance for researchers in the Middle East, particularly those at institutions like MBZUAI, on how to conduct impactful computer systems research and effectively communicate their findings in top-tier academic publications.
KAUST Professor Xin Gao formed part of the Rapid Research Response Team (R3T) to address the COVID-19 pandemic. Gao's team developed and deployed an AI system to assist clinicians in improving the accuracy of COVID-19 diagnoses. The lecture outlines how the AI system was built and implemented. Why it matters: This showcases how GCC academic institutions are leveraging AI to address pressing healthcare challenges.
This article discusses Peng Xiao and G42's growing influence in the global AI landscape. It highlights G42's strategic partnerships and investments in AI infrastructure and applications. The article suggests that G42 is becoming a key player in shaping the future of AI, particularly in the Middle East. Why it matters: G42's expansion signifies the UAE's ambition to become a global AI hub and its increasing role in driving AI innovation and adoption worldwide.