MBZUAI researchers won second place at the AgentX Competition at UC Berkeley for their benchmark measuring AI agents' reasoning across images, comparisons, and video. The Agent-X dataset includes 828 tasks across six domains, requiring agents to use 14 executable tools without explicit instructions. Agent-X analyzes the agent's full reasoning trajectory, unlike typical evaluations that focus only on final answers. Why it matters: The benchmark exposes limitations in current multimodal AI agents and provides a more rigorous evaluation framework for real-world applications in the region and beyond.
A study co-authored by researchers from UC Berkeley, University of the Witwatersrand, Lelapa AI, and MBZUAI received the Outstanding Paper Award at EMNLP 2024. The paper critiques the term "low-resource" languages in NLP, highlighting its limitations in capturing the diverse challenges faced by different languages. The authors propose a more detailed analysis of resourcedness to encourage targeted support for languages currently underserved by technology. Why it matters: The research challenges assumptions in NLP and promotes more nuanced approaches to supporting the world's many languages, including Arabic, in AI systems.
MBZUAI increased faculty diversity and worked with global partners on application projects in 2023, including developing Jais (with Core42 and Cerebras) and Vicuna (with UC San Diego, UC Berkeley, CMU, and Stanford). They also launched Jais Climate, a bilingual LLM for climate intelligence, and LLM360, a framework for transparent LLM research. Why it matters: MBZUAI's involvement in open-source GenAI initiatives and partnerships positions the UAE as a key player in responsible AI development and talent creation.
Researchers from MBZUAI, UC Berkeley, CMU, Stanford, and UC San Diego collaborated to create Vicuna, an open-source chatbot that costs $300 to train, unlike ChatGPT which costs over $4 million. Vicuna achieves 90% of ChatGPT's subjective language quality while being far more energy-efficient and can run on a single GPU. It was fine-tuned from Meta AI’s LLaMA model using user-shared conversations and has gained significant traction on GitHub. Why it matters: This research demonstrates that high-quality chatbots can be developed at a fraction of the cost and environmental impact, opening up new possibilities for sustainable AI development in the region.
Michael I. Jordan, a UC Berkeley Distinguished Professor and influential figure in machine learning and AI, has been appointed laureate professor at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). He will also serve as honorary director of MBZUAI's new Laureate Faculty Program. The program aims to attract leading researchers to MBZUAI by providing resources and minimizing administrative burdens. Why it matters: This appointment strengthens MBZUAI's reputation and enhances the UAE's AI ecosystem by bringing in a world-renowned AI expert to foster research and innovation.
Michael I. Jordan, a renowned AI researcher from UC Berkeley, has joined Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) as a laureate professor and honorary director of the Laureate Faculty Program. MBZUAI President Eric Xing highlighted Jordan's significant influence in machine learning, noting his role as a mentor. Jordan aims to guide AI researchers and advise the university as it seeks to become a global leader in AI. Why it matters: This appointment strengthens MBZUAI's position as a prominent AI research institution in the Middle East by attracting top-tier international talent and fostering a conducive environment for cutting-edge research.
KAUST has announced the latest recipients of the Ibn Rushd Fellowship Program, which supports early-career Saudi scientists for up to three years of postdoctoral research at international institutions. Fellows Abdullah Alghamdi and Abdulrahman M. Alfaraidi will conduct research at UC San Diego and Lawrence Berkeley National Laboratory, respectively. Their research aligns with Saudi Arabia’s health, wellness, and energy priorities while maintaining ties with KAUST. Why it matters: This fellowship program helps develop talent in priority fields and elevates the profile of Saudi academia, contributing to Saudi Vision 2030.
KAUST's TAQADAM Accelerator program has commenced its fourth cohort virtually, featuring 59 startups and 168 entrepreneurs from Saudi Arabia, Bahrain, Lebanon, and Egypt. This year marks the first time international startups have been accepted into the program, which offers up to SAR 150,000 in zero-equity funding. The bootcamp includes intensive training, workshops, mentorship, and guest speakers from UC Berkeley and GEN. Why it matters: This accelerator is a key initiative by KAUST and SABB to foster entrepreneurship and technological innovation in Saudi Arabia, aligning with the Kingdom's Vision 2030 goals.