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Event-Driven Sensing and Embedded Neuromorphic Platforms fo..:

, In: Proceedings of the Great Lakes Symposium on VLSI 2024,

Witherspoon, Brett ; Young, Aaron - p. 779-784 , 2024

Link: https://dl.acm.org/doi/10.1145/3649476.3660363

RT 
T1 <cTitle>Proceedings of the Great Lakes Symposium on VLSI 2024</cTitle>: T1 <Title>Event-Driven Sensing and Embedded Neuromorphic Platforms for Gamma Radiation Monitoring</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3660363&Exemplar=1&LAN=DE
				
A1 Witherspoon, Brett
A1 Young, Aaron
PB ACM
YR 2024
K1 anomaly detection
K1 bio-inspired computing
K1 event-driven sampling
K1 neuromorphic computing
K1 radiation detection
K1 spiking neural networks
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Hardware
K1 Communication hardware, interfaces and storage
K1 Signal processing systems
K1 Embedded and cyber-physical systems
K1 Embedded systems
K1 Sensor applications and deployments
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Emerging technologies
K1 Analysis and design of emerging devices and systems
K1 Emerging architectures
SP 779
OP 784
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3649476.3660363
DO https://dl.acm.org/doi/10.1145/3649476.3660363
SF ELIB - SuUB Bremen

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