A KAUST team led by Hossein Fariborzi won second place in the MEMS Design Contest for their "MEMS Resonator for Oscillator, Tunable Filter and Re-Programmable Logic Applications." The device is runtime-reprogrammable, allowing the function of each device in the circuit to be changed during operation. The KAUST team demonstrated that two MEMS resonators could replace over 20 transistors in applications like digital adders, reducing digital circuit complexity. Why it matters: This innovation could significantly reduce power consumption, chip area, and manufacturing costs in microprocessors, advancing the development of energy-efficient microcomputers in the region.
A professor from EPFL (Lausanne) gave a talk at MBZUAI on computing in the post-Moore era, highlighting the slowing of Moore's Law due to physical limits in transistor miniaturization. He discussed research challenges and opportunities for future computing technologies. He presented examples of post-Moore technologies he helped develop in the datacenter space. Why it matters: As Moore's Law slows, research into alternative computing paradigms becomes critical for the continued advancement of AI and digital services in the UAE and globally.
KAUST researchers have integrated a hexagonal boron nitride sheet into CMOS microchips, creating a hybrid 2D-CMOS microchip. This integration leverages the electrical and thermal properties of 2D materials, resulting in circuits that are smaller, more energy-efficient, and have longer lifespans. The KAUST Imaging and Characterization Core Lab contributed to the observations in this study, which involved researchers from six countries. Why it matters: This achievement represents a significant advancement in microchip miniaturization and performance, potentially impacting various electronic applications.
Abdulrahman Mahmoud, a postdoctoral fellow at Harvard University, discusses software-directed tools and techniques for processor design and reliability enhancement in ML systems. He emphasizes the need for a nuanced approach to numerical data formats supported by robust hardware. He advocates for integrating reliability as a foundational element in the design process. Why it matters: This research addresses the critical challenge of hardware reliability in AI processors, particularly relevant as the field moves towards hardware-software co-design for sustained growth.
Nvidia is expanding its market beyond GPUs with the development of a central processing unit (CPU) based on Arm architecture. This move positions Nvidia to compete directly with established CPU manufacturers like Intel and AMD. The company aims to offer integrated hardware and software solutions optimized for AI and data science workloads. Why it matters: Nvidia's entry into the CPU market could accelerate AI development and adoption in the Gulf region by providing more specialized and efficient computing solutions.
KAUST Professor Muhammad Mustafa Hussain is working to democratize electronics and make advanced technology accessible. His research focuses on creating flexible, stretchable, and reconfigurable electronics that are cost-effective and easy to use. Hussain also teaches a course at KAUST where students develop electronics solutions to everyday problems. Why it matters: This initiative could empower individuals globally by providing access to affordable and user-friendly electronic devices for various applications.
UC Berkeley professor Michael I. Jordan will lead a session on AI, Machine Learning and Economy as part of the MBZUAI Executive Program. The program is headed by MBZUAI President Eric Xing and includes 42 participants from ministerial leadership and top industry executives. The 12-week program aims to support the UAE's AI leadership mission through education, capacity building, innovation, and R&D. Why it matters: The involvement of a prominent academic figure like Jordan highlights the UAE's commitment to attracting global expertise in AI education and solidifying its position as an AI hub.