Memory innovation for the AI era: Scaling performance, efficiency and sustainability
AI is driving one of the most significant transformations in computing history, placing unprecedented demands on memory and storage technologies. As data volumes grow and models become increasingly complex, future AI systems will require breakthroughs that extend beyond individual components and span the entire technology stack.
This keynote will explore the role of memory in enabling the next generation of intelligent systems, from advances in DRAM, NAND and HBM to innovations in packaging, integration and system architecture. It will also examine how research collaboration across industry, academia and ecosystem partners is helping address fundamental challenges in performance, power efficiency and scalability.
By bringing together expertise across materials science, device physics, process technology and system design, the semiconductor ecosystem can accelerate innovation and build the foundation for more powerful and sustainable AI infrastructure. The resulting advances will help unlock new applications, improve resource efficiency and support technologies that address some of society's most important challenges.