MBZUAI is hosting a talk by Professor Eric Xing on the challenges of moving from performance-oriented AI to production and industrial AI. The talk will cover theoretical foundations for panoramic learning, compositional strategies for building Pan-ML programs, optimization methods for tuning systems, and systems frameworks for scaling ML production. Professor Xing was previously a professor at Carnegie Mellon University and the founder of Petuum Inc. Why it matters: Bridging the gap between academic AI and real-world industrial applications is critical for unlocking the economic potential of AI in the UAE and beyond.
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.
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.
MBZUAI is developing the AI Operating System (AIOS) to reduce the energy, time, and talent costs of AI computing. AIOS aims to make AI models smaller, faster, and more efficient, reducing reliance on expensive hardware and speeding up compute operations. It also enables cost-aware model tuning and standardizes AI modules for reliable operation. Why it matters: By addressing the environmental impact and resource demands of AI, AIOS could promote more sustainable and accessible AI development in the region and globally.
MBZUAI Professor Fakhri Karray delivered a talk on advances in operational AI, highlighting its potential to grow global GDP by 15% by 2025. He discussed AI's impact on IoT, self-driving machines, virtual assistants, and other fields. Karray outlined milestones in AI, achievements in operational AI, future directions, and challenges for safe and beneficial AI. Why it matters: The presentation underscores MBZUAI's role in shaping the discourse around AI's transformative potential and ethical considerations in the region.