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07/18/2023
PLiNIO: A User-Friendly Library of Gradient-based Methods for Complexity-aware DNN Optimization
Accurate yet efficient Deep Neural Networks (DNNs) are in high demand, e...
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07/03/2023
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
The emerging trend of deploying complex algorithms, such as Deep Neural ...
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06/16/2023
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
With the increasing popularity of Internet of Things (IoT) devices, ther...
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06/08/2023
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
The need to execute Deep Neural Networks (DNNs) at low latency and low p...
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03/03/2023
Deep Neural Network Architecture Search for Accurate Visual Pose Estimation aboard Nano-UAVs
Miniaturized autonomous unmanned aerial vehicles (UAVs) are an emerging ...
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01/24/2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
Neural Architecture Search (NAS) is quickly becoming the go-to approach ...
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10/14/2022
Multi-Head Cross-Attentional PPG and Motion Signal Fusion for Heart Rate Estimation
Nowadays, Hearth Rate (HR) monitoring is a key feature of almost all wri...
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09/02/2022
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
Human Activity Recognition (HAR) based on inertial data is an increasing...
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06/17/2022
Channel-wise Mixed-precision Assignment for DNN Inference on Constrained Edge Nodes
Quantization is widely employed in both cloud and edge systems to reduce...
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06/01/2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
Neural Architecture Search (NAS) is increasingly popular to automaticall...
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05/27/2022
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
Random Forests (RFs) are widely used Machine Learning models in low-powe...
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05/25/2022
Ultra-compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors
Human Activity Recognition (HAR) is a relevant inference task in many mo...
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04/07/2022
Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence
Energy-efficient machine learning models that can run directly on edge d...
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03/28/2022
Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks
Temporal Convolutional Networks (TCNs) are promising Deep Learning model...
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03/28/2022
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
A wrist-worn PPG sensor coupled with a lightweight algorithm can run on ...
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03/24/2022
Q-PPG: Energy-Efficient PPG-based Heart Rate Monitoring on Wearable Devices
Hearth Rate (HR) monitoring is increasingly performed in wrist-worn devi...
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03/24/2022
Bioformers: Embedding Transformers for Ultra-Low Power sEMG-based Gesture Recognition
Human-machine interaction is gaining traction in rehabilitation tasks, s...
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03/24/2022
TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference
Temporal Convolutional Networks (TCNs) are emerging lightweight Deep Lea...
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03/04/2022
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring
Modern real-time Structural Health Monitoring systems can generate a con...
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03/01/2022
Embedding Temporal Convolutional Networks for Energy-Efficient PPG-Based Heart Rate Monitoring
Photoplethysmography (PPG) sensors allow for non-invasive and comfortabl...
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03/25/2021
ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network
Personalized ubiquitous healthcare solutions require energy-efficient we...
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03/19/2021
Fully Onboard AI-powered Human-Drone Pose Estimation on Ultra-low Power Autonomous Flying Nano-UAVs
Artificial intelligence-powered pocket-sized air robots have the potenti...
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08/17/2020
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
The deployment of Deep Neural Networks (DNNs) on end-nodes at the extrem...
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09/06/2018