Effective power management is essential for balancing energy efficiency and performance in modern microprocessors. Fully integrated digital low-dropout (DLDO) regulators provide a scalable and compact solution; however, conventional architectures such
from Reinforcement Learning-Based Digital LDO for Fast and Adaptive Transient Response
In resource-constrained edge devices, executing applications locally is increasingly necessary, as transmitting data to centralized servers adds latency, energy overheads, and security risks. To mitigate these issues, edge platforms are
from Circuits and Architectures for Low-Power Transprecision Computing on Edge Devices
NSF INDUSTRY-UNIVERSITY COOPERATIVE RESEARCH CENTER