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THE BAJA POST
NEWSROOM
SOURCE: PR NEWSMEDIA
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has expanded its global footprint with the launch of its Institute of Foundation Models (IFM). The IFM is a multi-site initiative consisting of a newly established Silicon Valley Lab in Sunnyvale, CA, combined with previously announced lab facilities in Paris and Abu Dhabi.
The launch event yesterday at the Computer History Museum in Mountain View, establishes the third node in its global research network. This strategic expansion connects the university with California’s vibrant ecosystem of AI researchers, startups, and tech companies.
For the UAE and MBZUAI, this move represents another strategic step in the country’s long-term economic diversification plan. By investing in cutting-edge technologies like advanced AI foundation models, the UAE continues to build knowledge-based sectors to support its long-term economic and social transformation efforts.
«Today’s launch of the IFM represents a major step forward for the collaboration and global development of frontier-class AI foundation models,» said Professor Eric Xing, President and University Professor, MBZUAI. «Our expansion into Silicon Valley provides a critical footprint to grow our presence in one of the most vibrant AI ecosystems in the world. We’re creating pathways for knowledge exchange with leading institutions and accessing a talent pool that understands how to scale research into real-world applications.»
The launch event drew representatives from the world’s leading AI companies and academic institutions, highlighting the growing interest in MBZUAI’s global approach to foundation model research.
At the heart of MBZUAI’s demonstrations was PAN, a world model capable of infinite simulations of diverse realities ranging from basic physical interactions to complex agent scenarios.
Unlike previous systems focused primarily on generating text, audio, or images, PAN predicts comprehensive world states by integrating multimodal inputs like language, video, spatial data, and physical actions. This enables advanced reasoning, strategic planning, and nuanced decision-making for applications from autonomous driving to robotics.
PAN’s innovative hierarchical architecture supports multi-level reasoning and real-time interaction within simulations, maintaining high accuracy over extended scenarios. Its companion, PAN-Agent, showcases its utility in multimodal reasoning tasks, such as mathematics and coding, within dynamic simulated environments.
