Tracks

Ferroelectric Devices for Emerging Memory

This track covers advancements in ferroelectric-based memory technologies, such as FeRAM and FeFETs. It emphasizes their potential for non-volatile, scalable, and energy-efficient memory solutions suitable for next-generation computing systems.

Low-Power Design for AI Workloads

This track addresses techniques and innovations in designing low-power hardware and systems that efficiently handle AI workloads. Topics include power-aware architectures, dynamic voltage/frequency scaling, and energy-efficient accelerators.

Evolution of Interface Protocol for AI

This track focuses on the development and optimization of high-bandwidth, low-latency interface protocols tailored for AI systems. It covers trends in interconnects, memory interfaces, and standards like CXL and HBM for improving AI system performance.