The AI4Bio Workshop at MBZUAI explored the intersection of AI and biology, focusing on AI-driven virtual organisms and foundation models. Eric Xing presented his vision of using AI to simulate biological activities, offering a safer alternative to physical experiments. Researchers like Le Song and Jen Philippe Vert are developing foundation models for biological systems, enhancing drug discovery and bioengineering. Why it matters: This signals the growing importance of AI in advancing biological research and healthcare innovation within the UAE and globally.
MBZUAI's Professor Le Song is developing an AI-driven simulation to model the human body at societal, organ, tissue, cellular, and molecular levels. The goal is to reduce the time and cost associated with bringing new medicines to market by removing the need for wet lab biological research. Song aims to create a comprehensive model using machine learning. Why it matters: This research could revolutionize drug discovery in the region by accelerating the development process and reducing reliance on traditional research methods.
MBZUAI faculty and researchers had 27 papers accepted at the 2022 NeurIPS conference. 12 MBZUAI faculty members have at least one paper accepted, with Professor Kun Zhang leading with 10 papers. Other faculty with accepted publications include Eric Xing, Le Song, and Fahad Khan. Why it matters: This achievement highlights MBZUAI's growing prominence in the global machine learning research community.
MBZUAI Department Chair Le Song served as a program co-chair at the 39th International Conference on Machine Learning (ICML). MBZUAI faculty, researchers, and students had 7 papers accepted at ICML 2022. Song noted the increasing focus on biomedicine and other science areas within the AI research community. Why it matters: Song's leadership role at ICML and MBZUAI's strong presence highlights the university's growing influence in the global machine learning landscape.
MBZUAI faculty members led or co-led several top global AI conferences in 2022, including ACL, ICML, CLeaR, and UAI. Faculty members Timothy Baldwin, Le Song, Kun Zhang, and Preslav Nakov held leadership positions at these conferences. According to CSRankings, MBZUAI ranks in the top 30 globally in AI, computer vision, machine learning, and NLP. Why it matters: This highlights MBZUAI's growing influence and reputation in the global AI research community, solidifying its position as a leading institution in the field.
Professor Le Song has joined MBZUAI as Deputy Department Chair of the Machine Learning Department. He brings decades of experience from institutions like Georgia Tech, Google Research, and Carnegie Mellon University. Le Song's research focuses on machine learning methods and algorithms for complex and dynamic data, with over 160 papers published in top ML conferences. Why it matters: This appointment bolsters MBZUAI's machine learning department and signals the university's commitment to attracting world-class AI talent to the UAE.
A delegation from Luxembourg, including H.E. Franz Fayot, Minister of Economy, and H.E. Elisabeth Cardoso, Ambassador to the UAE, visited MBZUAI. They met with MBZUAI President Prof. Eric Xing, Dr. Behjat Al Yousuf, and Prof. Le Song to discuss potential collaborations. The discussions focused on opportunities between MBZUAI and Luxembourg institutions. Why it matters: This visit signals growing international interest in partnering with MBZUAI, potentially fostering research and educational exchanges.
A delegation from the Embassy of Poland in the UAE met with senior leaders at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Discussions focused on potential collaboration opportunities between MBZUAI and Polish institutions. The meeting included Dr. Behjat Al Yousuf, Prof. Le Song, and Reem Al Orfali from MBZUAI. Why it matters: This meeting indicates MBZUAI's continued efforts to expand its international partnerships and foster collaboration in AI research and education.