AI for Better Hardware & Hardware for Better AI
Speaker: Ahmedullah Aziz – Knoxville, TN, United StatesTopic(s): Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing , Graphics and Computer-Aided Design , Hardware, Power and Energy , Architecture, Embedded Systems and Electronics, Robotics
Abstract
For years, the rapid ascent of AI has captivated the world, but behind every groundbreaking algorithm lies an unsung hero: hardware. While software and algorithms have stolen the spotlight, the foundation of AI's progress—the hardware powering these systems—has quietly revolutionized the field. Yet, as AI applications grow increasingly complex, the limits of current hardware threaten to halt this momentum. A pressing challenge looms over the future of AI: its staggering energy demands. Recent projections suggest that by 2027, AI servers could consume between 85 and 134 terawatt hours (TWh) annually, comparable to the energy consumption of countries like Argentina, Sweden, and the Netherlands. This stark reality underscores an urgent need to rethink hardware architecture to prevent AI's energy footprint from spiraling out of control. Sustaining AI's explosive growth requires bold leaps in hardware innovation. This means not only advancing technology but also fostering a new generation of researchers and engineers dedicated to tackling these challenges. Interestingly, the key to unlocking AI's full potential may lie in AI itself—by using machine learning to design and optimize the very hardware it relies on. In this presentation, we’ll explore pioneering approaches to AI-driven microelectronics co-design, highlighting how breakthroughs in hardware can reshape the future of artificial intelligence, making it more efficient, scalable, and sustainable.About this Lecture
Number of Slides: 50Duration: 60 minutes
Languages Available: Bengali, English
Last Updated:
Request this Lecture
To request this particular lecture, please complete this online form.
Request a Tour
To request a tour with this speaker, please complete this online form.
All requests will be sent to ACM headquarters for review.