I’ve always been interested in the tradeoffs that designers make when defining topologies and selecting components for a ...
Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.
Abstract: This paper provides a critical review and the classification of comparators in low-power low-data-rate (1 kS/s~1.5 MS/s) successive approximation register analog-to-digital converters (SAR ...
Abstract: The Ising machine is regarded as a promising computing architecture for obtaining approximate solutions to some nondeterministic polynomial time hard (NP-hard) problems. Utilizing a CMOS ...