Archives: Presentations

6 years of open-source TinyML with emlearn

Deploying neural networks in sensors with near zero memory budget

Streamlining ML Operations for Enhanced Collaboration and Efficiency

Structural Health Monitoring at the Edge for Wind Turbine Blades Using Pressure Sensors

A Paradigm Shift From Imaging to Vision: Oculi Enables 600x Reduction in Latency-Energy Factor for Visual Edge Applications

Optimizing Vision Transformers: A Novel Neuron Leveraging Max and Min Operations for Aggressively Prunable DNNs

tinyCLAP: distilling language-audio pretrained models

In-Glasses Eye-Tracking with DVS camera, Tiny Memory-Efficient Model for Neuromorphic Computing and Digital Processors

Spiking Neural Processor T1: An ultra-low power neuromorphic microcontroller for the sensor edge

Hard Contextual Parameter Sharing: A Multi-task Learning Approach for tinyML