An Introduction to N2D2 Neural Network Framework

Bridging the Gap: How N2D2 is Revolutionizing Energy-Efficient Embedded AI

Artificial Intelligence has historically had a heavy footprint. Training and running massive Deep Neural Networks (DNNs) typically demands data-center-grade GPUs, continuous cooling, and a steady, hefty stream of electricity. But what happens when you need to deploy advanced machine vision or predictive intelligence onto a micro-controller, an industrial IoT sensor, or an autonomous vehicle operating on tight battery constraints?