If you are interested in learning more about how you can use your Raspberry Pi and machine learning to expand your projects, you may be interested in a new tutorial published to the Hackster.io ...

We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Google today introduced TensorFlow Lite 1.0, its framework for developers ...

A guide to how to experiment with machine learning on the $35 board. If you want to dabble with machine learning on the $35 Raspberry Pi you’ve never had more options. Google offers several kits for ...

Google's open source framework for machine learning and neural networks is fast and flexible, rich in models, and easy to run on CPUs or GPUs What makes Google Google? Arguably it is machine ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond its ...

Developers can now get their hands on Google's souped-up answer to the Raspberry Pi: the $150 Coral Dev Board, which features Google's Edge TPU machine-learning accelerator for low-powered devices ...