MBZUAI has launched The Academy, a global platform for AI knowledge exchange, along with the world’s first AI x Arts Fellowship. The inaugural cohort of eight fellows includes artists and innovators like Refik Anadol and Amrita Sethi, who will participate in residency programs in Abu Dhabi in 2026. The Academy also encompasses the MBZUAI Executive Program (MEP), which empowers UAE leaders to leverage AI. Why it matters: This initiative signals MBZUAI's commitment to fostering interdisciplinary collaboration between AI and the arts, positioning Abu Dhabi as a hub for innovative AI applications in culture and heritage.
MBZUAI has launched the Ruwwad AI Scholars (RAIS) program, a postdoctoral fellowship for Emirati Ph.D. graduates to undertake two-year, fully-funded research positions at leading global institutions. The program aims to cultivate local talent in AI and computational research, with the goal of strengthening participants' eligibility for faculty positions at MBZUAI. The fellowship covers a stipend, research funds, insurance, relocation support, and conference travel.
MBZUAI has launched the Ruwwad AI Scholars (RAIS) program, a fully funded two-year postdoctoral fellowship for Emirati Ph.D. graduates to conduct research at leading global institutions. The fellowship covers a competitive stipend, research funds, insurance, relocation support, and conference travel, with no cost to host institutions. Completion aims to strengthen eligibility for tenure-track faculty positions at MBZUAI. Why it matters: This program represents a strategic investment in developing Emirati AI talent and building a globally competitive, homegrown AI faculty to drive the UAE's research ambitions.
Dr. James She from Hamad Bin Khalifa University will give a talk on AI for Art, Culture and Heritage, covering history, trends, opportunities, and potential impacts in the Gulf region. His research focuses on AI and multimedia technologies for art, media, culture, and human creativity, with recent artworks using AI for cultural or heritage content in Arabic regions. He was also a visiting artist-in-residency at Fire Station Museum, Qatar Museums in 2020-2021. Why it matters: This lecture highlights the growing interest and applications of AI in preserving and promoting cultural heritage within the Gulf region, potentially fostering innovation in art and culture.
MBZUAI launched its Executive Program, a hybrid course for government and industry leaders to promote greater engagement with AI. The program's first session, led by MBZUAI President Eric Xing, covered the history and future of AI and machine learning. It aims to accelerate AI development across various sectors in the UAE, focusing on efficiency, cost savings, and environmental impact reduction. Why it matters: This initiative signals the UAE's commitment to fostering AI literacy and driving AI adoption across key sectors, aligning with national economic development plans.
The Abu Dhabi Music & Arts Foundation (ADMAF) and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) have signed a Memorandum of Understanding (MoU) to co-curate a program involving international professors, artists, and scientists. The collaboration will focus on STEAM projects, artist residencies, and publishing research papers. The partnership was announced in conjunction with the Riwaq Al Fikr talk exploring AI's implications for the music and creative industries. Why it matters: This MoU signifies a growing trend of integrating AI with arts and culture in the UAE, potentially fostering innovation and new forms of artistic expression.
KAUST computer scientist Mohamed Elhoseiny and his VISION CAIR team developed Creative Walk Adversarial Networks (CWAN) for novel art generation. CWAN learns from existing art styles and deviates using 'random walk deviation' methods. Human evaluators preferred CWAN-generated art compared to other methods like StyleGAN2. Why it matters: The research demonstrates AI's potential as a valuable tool for artists, enabling the creation of unique and meaningful art, and explores more effective emotional language in image captioning.