A machine learning-oriented survey on tiny machine learning
The emergence of Tiny Machine Learning (TinyML) has positively revolutionized the field of
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …
Artificial Intelligence by promoting the joint design of resource-constrained IoT hardware …
Decoupled Access-Execute Enabled DVFS for TinyML Deployments on STM32 Microcontrollers
EL Alvanaki, M Katsaragakis… - … , Automation & Test …, 2024 - ieeexplore.ieee.org
Over the last years the rapid growth Machine Learning (ML) inference applications deployed
on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and …
on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and …
[PDF][PDF] Decoupled access-execute and dynamic voltage/frequency scaling optimization for energy efficient tinyML deployments on STM32 MCUs
EL Alvanaki - 2024 - dspace.lib.ntua.gr
Over the last years the rapid growth Machine Learning (ML) inference applications deployed
on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and …
on the Edge is rapidly increasing. Recent Internet of Things (IoT) devices and …