Squeeze-and-Threshold based quantization forLow-Precision Neural Networks

Utilizing Static Code Generation in TinyML

Mini-NAS: A Neural Architecture Search Framework for Small Scale Image Classification Applications

Pruning In Time (PIT): A Lightweight Network Architecture Optimizer for Temporal Convolutional Networks

TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

Simulating Edge AI Inference to early predict Chronic obstructive pulmonary disease from Exhaled Breath Fingerprint

Comparing Industry Frameworks and Zoo for Deeply Quantized Neural Networks

Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge

Low-Power License Plate Detection and Recognitionon a RISC-V Multi-Core MCU-based Vision System

Constrained neural networks for thermal vision