μBrain: An Event-Driven and Fully Synthesizable Architecture for Spiking Neural Networks.

ABSTRACT: The development of brain-inspired neuromorphic computing architectures as a paradigm for Artificial Intelligence (AI) at the edge is a candidate solution that can meet strict energy and cost reduction constraints in the Internet of Things (IoT) application areas. Toward this goal, we present μBrain: the first digital yet fully event-driven without clock architecture, with co-located memory and processing capability that exploits event-based processing to reduce an always-on system's overall energy consumption (μW dynamic operation). The chip area in a 40 nm Complementary Metal Oxide Semiconductor (CMOS) digital technology is 2.82 mm² including pads (without pads 1.42 mm²). This small area footprint enables μBrain integration in re-trainable sensor ICs to perform vario

SUBMITTER: Stuijt J 

PROVIDER: S-EPMC8170091 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature