MBZUAI Assistant Professor Qirong Ho is researching AI operating systems to standardize algorithms and enable non-experts to create AI applications reliably. He emphasizes that countries mastering mass production of AI systems will benefit most from the Fourth Industrial Revolution. Ho is co-founder and CTO at Petuum Inc., an AI startup creating standardized building blocks for affordable and scalable AI production. Why it matters: This research aims to democratize AI development and promote widespread adoption across industries in the UAE and beyond.
Qirong Ho, co-founder and CTO of Petuum Inc., will be contributing to the "ML Systems for Many" initiative. Petuum is recognized for creating standardized building blocks for AI assembly. Ho also holds a Ph.D. from Carnegie Mellon University and is part of the CASL open-source consortium. Why it matters: Showcases the ongoing efforts to democratize AI development and deployment, making it more accessible and sustainable, although the specific initiative is not further detailed.
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.
MBZUAI Associate Professor Martin Takáč is working on high-performance computing and machine learning with applications in logistics, supply chain management, and other areas. His research focuses on using AI to improve precision and efficiency in tasks like predicting demand and optimizing delivery routes. Takáč's interests include imitative learning, predictive modeling, and reinforcement learning to enable AI to mimic human behavior and predict future outcomes. Why it matters: This research contributes to the development of more efficient and reliable AI systems that can be applied to a wide range of industries in the UAE and beyond.
Sultan Al Mansoori (Mubadala) and Hind Almarzooqi (Abu Dhabi Pension Fund), professionals in the UAE, are part of the inaugural cohort of the Master in Applied Artificial Intelligence (MAAI) program at MBZUAI. They aim to leverage AI for national priorities and establish Abu Dhabi as a global AI hub. The program focuses on practical AI application and addresses a critical skills gap between AI innovation and real-world implementation. Why it matters: This highlights the UAE's strategic investment in AI talent development and its ambition to lead in AI application across various sectors.
Patrick van der Smagt, Director of AI Research at Volkswagen Group, discussed the use of generative machine learning models for predicting and controlling complex stochastic systems in robotics. The talk highlighted examples in robotics and beyond and addressed the challenges of achieving quality and trust in AI systems. He also mentioned his involvement in a European industry initiative on trust in AI and his membership in the AI Council of the State of Bavaria. Why it matters: Understanding control in robotics, along with trust in AI, are key issues for further development of autonomous systems, especially in industrial applications within the GCC region.
KAUST hosted the fifth Rising Stars in AI Symposium, convening 25 early-career AI researchers from over 430 applicants. Discussions centered on reasoning in AI models, AI's role in addressing global challenges, embodied systems, and the necessity of trustworthy AI. Participants, including Dr. Sahar Abdelnabi from the ELLIS Institute Tübingen, emphasized the symposium's value for collaboration and identifying future AI research directions. Why it matters: The event highlights KAUST's commitment to fostering emerging AI talent and addressing critical issues in the field, with a focus on AI's real-world impact and ethical considerations.