Archives: Presentations

TinyML: The power / cost conundrum

Always-on AI vision: The path to disruptive, high-scale applications

It’s an SNN future: Are you ready for it? Converting CNN’s to SNN’s

Low-power vision processing and signal processing for IoT and edge devices

Innovative and Convolutional-Friendly tinyML Architecture for Small-Silicon, Low-Power Devices

TinyML journey: from face detection demo to real-life commercial deployment

Enabling Touchless In-Ear Headphones

Leveraging sparsity to drive fast response times at the edge

Tree Ensemble Model Compression for Embedded Machine Learning Applications

Tiny and Flexible ML with Lattice FPGA