Nobuyuki Umetani from the University of Tokyo presented a talk on using AI to accelerate simulations and optimization for 3D shape designs. The talk covered interactive approaches integrating physical simulation into geometric modeling. Specific applications discussed included musical instruments, garment design, aerodynamic design, and floor plan design. Why it matters: This highlights growing interest in AI techniques at MBZUAI and across the GCC for streamlining engineering design and simulation processes.
This article discusses the application of AI in semiconductor chip design and manufacturing, with a focus on examples such as IR-drop estimation and lithography processes. It mentions Youngsoo Shin, a KAIST professor and founder of Baum, who is an expert in this area. The article also briefly mentions panel discussion hosted by MBZUAI. Why it matters: AI-driven chip design and manufacturing could accelerate semiconductor innovation in the GCC region and beyond.
Michael Yu Wang, Chair Professor and Founding Dean of the School of Engineering at Great Bay University, argues for combining "good old fashioned engineering" (GOFE) with learning-based approaches like LLMs for robot skill acquisition, particularly in manipulation. He suggests a modular framework that integrates engineering principles with learning, drawing inspiration from human hand-eye coordination and tactile perception. Wang emphasizes the need to address engineering features of robot tactile sensors, such as spatial and temporal resolutions, to achieve human-like robot manipulation skills. Why it matters: This perspective highlights the importance of hybrid approaches combining traditional engineering with modern AI for advancing robotics, especially in complex manipulation tasks relevant to industries in the GCC region.
James Landay from Stanford University spoke at MBZUAI about human-centered AI design, arguing current approaches focus too narrowly on the user level. He proposed considering user, community, and societal impacts at all stages of AI design, not as an afterthought. Landay emphasized the need for collaboration and cooperation to implement this approach effectively. Why it matters: This highlights the growing emphasis on ethical AI development and the importance of considering broader societal impacts in the design of AI systems within the region.
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.