Archives: Presentations

Building data-centric AI tooling for embedded engineers

The secrets behind Edge Impulse

Mastering the 3 Pillars of AI Acceleration: Algorithms, Hardware and Software

Perspectives & Challenges for TinyML Hardware: a System-Level View

Optimizing AutoML for the tinyML Future

Sensors and ML: waking smarter for less

Automated Machine Learning under model’s deployability on tiny devices

Dissecting a low power AI/ML edge application: Noise Suppression

Enabling tiny camera sensors for Augmented Reality

Challenges for Large Scale Deployment of Tiny ML Devices