Picture for Flavio Ponzina

Flavio Ponzina

SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis

Add code
Nov 14, 2024
Viaarxiv icon

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning

Add code
Sep 12, 2024
Figure 1 for E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
Figure 2 for E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
Figure 3 for E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
Figure 4 for E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning
Viaarxiv icon

MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems

Add code
Mar 24, 2024
Viaarxiv icon

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference

Add code
Sep 12, 2022
Figure 1 for Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Figure 2 for Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Figure 3 for Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Figure 4 for Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference
Viaarxiv icon

An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors

Add code
Jun 25, 2021
Figure 1 for An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Figure 2 for An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Figure 3 for An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Figure 4 for An Error-Based Approximation Sensing Circuit for Event-Triggered, Low Power Wearable Sensors
Viaarxiv icon