Lightweight neural architecture search for temporal convolutional networks at the edge
Neural Architecture Search (NAS) is quickly becoming the go-to approach to optimize the
structure of Deep Learning (DL) models for complex tasks such as Image Classification or …
structure of Deep Learning (DL) models for complex tasks such as Image Classification or …
Q-ppg: Energy-efficient ppg-based heart rate monitoring on wearable devices
Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devices using low-cost
photoplethysmography (PPG) sensors. However, Motion Artifacts (MAs) caused by …
photoplethysmography (PPG) sensors. However, Motion Artifacts (MAs) caused by …
Human activity recognition on microcontrollers with quantized and adaptive deep neural networks
Human Activity Recognition (HAR) based on inertial data is an increasingly diffused task on
embedded devices, from smartphones to ultra low-power sensors. Due to the high …
embedded devices, from smartphones to ultra low-power sensors. Due to the high …
Pruning techniques for artificial intelligence networks: a deeper look at their engineering design and bias: the first review of its kind
Abstract Trained Artificial Intelligence (AI) models are challenging to install on edge devices
as they are low in memory and computational power. Pruned AI (PAI) models are therefore …
as they are low in memory and computational power. Pruned AI (PAI) models are therefore …
Toward Energy-efficient STT-MRAM-based Near Memory Computing Architecture for Embedded Systems
Convolutional Neural Networks (CNNs) have significantly impacted embedded system
applications across various domains. However, this exacerbates the real-time processing …
applications across various domains. However, this exacerbates the real-time processing …
Multi-complexity-loss dnas for energy-efficient and memory-constrained deep neural networks
Neural Architecture Search (NAS) is increasingly popular to automatically explore the
accuracy versus computational complexity trade-off of Deep Learning (DL) architectures …
accuracy versus computational complexity trade-off of Deep Learning (DL) architectures …
Privacy-preserving social distance monitoring on microcontrollers with low-resolution infrared sensors and cnns
Low-resolution infrared (IR) array sensors offer a low-cost, low-power, and privacy-
preserving alternative to optical cameras and smartphones/wearables for social distance …
preserving alternative to optical cameras and smartphones/wearables for social distance …
An Edge-side Real-time Video Analytics System with Dual Computing Resource Control
Video analytics systems conduct video preprocessing to filter out unnecessary frames and
model inference using appropriately selected neural networks for high analytics speed …
model inference using appropriately selected neural networks for high analytics speed …
RISC-V Processor Technologies for Aerospace Applications in the ISOLDE Project
Modern space applications impose significant challenges to the design of hardware and
software platforms. Beyond traditional applications such as avionics, Attitude Orbit Control …
software platforms. Beyond traditional applications such as avionics, Attitude Orbit Control …