Accelerating Model Optimization on the Edge Through Automated Performance Benchmarking and End-to-End Profiling

BiomedBench – A benchmark suite of ML-based biomedical applications targeting ultra-low-power wearable devices

Deploying ONNX models on embedded devices with TensorFlow Lite inference engine using conversion-based approach

From tiny models to sustainable systems: Neureka’s end-to-end framework for TinyML in a fast-changing technological landscape

tinyML driven open-source edge portable spectrophotometer for rapid and non-destructive quality assessment of fruits and vegetables

Practical Edge Artificial Intelligence for Factory Condition Based Monitoring in Components Manufacturing

Embedded Joint Acoustic Echo Cancellation and Noise Suppression

Intelligent monitoring of Permanent Magnet Synchronous Motors with Stellar-E micro-controllers

Transformer-Based Model Deployment on Edge Devices through MicroNPUs Operator Converter

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO