MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the long run of AI

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The MIT Schwarzman College of Computing and the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) recently celebrated the launch of the MIT–MBZUAI Collaborative Research Program, a brand new effort to strengthen the constructing blocks of artificial intelligence and speed up its use in pressing scientific and societal challenges.

Under the five-year agreement, faculty, students, and research staff from each institutions will collaborate on fundamental research projects to advance the technological foundations of AI and its applications in three core areas: scientific discovery, human thriving, and the health of the planet.

“Artificial intelligence is transforming nearly every aspect of human endeavor. MIT’s leadership in AI is greatly enriched through collaborations with leading academic institutions within the U.S. and around the globe,” says Dan Huttenlocher, dean of the MIT Schwarzman College of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Computer Science. “Our collaboration with MBZUAI reflects a shared commitment to advancing AI in ways which might be responsible, inclusive, and globally impactful. Together, we will explore latest horizons in AI and convey broad advantages to society.”

“This agreement will unite the efforts of researchers at two world-class institutions to advance frontier AI research across scientific discovery, human thriving, and the health of the planet. By combining MBZUAI’s concentrate on foundational models and real-world deployment with MIT’s depth in computing and interdisciplinary innovation, we’re making a transcontinental bridge for discovery. Together, we is not going to only expand the boundaries of AI science, but additionally be sure that these breakthroughs are pursued responsibly and applied where they matter most — improving human health, enabling intelligent robotics, and driving sustainable AI at scale,” says Eric Xing, president and university professor at MBZUAI.

Each institution has appointed a tutorial director to oversee this system on its campus. At MIT, Philip Isola, the Class of 1948 Profession Development Professor within the Department of Electrical Engineering and Computer Science, will function program lead. At MBZUAI, Le Song, professor of machine learning, will tackle the role.

Supported by MBZUAI — the primary university dedicated entirely to advancing science through AI, and based in Abu Dhabi, U.A.E. — the collaboration will fund quite a few joint research projects per yr. The findings shall be openly publishable, and every project shall be led by a principal investigator from MIT and one from MBZUAI, with project selections made by a steering committee composed of representatives from each institutions.

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