Google's TensorFlow team makes it a whole lot easier to get AI up and running on a Raspberry Pi.

A recent [TensorFlow] video shows an interview between [Jason Mayes] and [Paul Van Eck] about using TensorFlow.js with Node-RED to create machine learning applications for Raspberry Pi visually.

Raspberry Pi enthusiasts may be interested to know that the Google Machine learning software TensorFlow offering and artificial intelligence framework, will soon be available for the Raspberry Pi.

While TensorFlow Lite enables you to run complex models on a Raspberry Pi, there are inherent limitations due to the device’s hardware constraints.

If you have about 10 hours to kill, you can use [Edje Electronics’s] instructions to install TensorFlow on a Raspberry Pi 3. In all fairness, the amount of time you’ll have to babysit i… ...

TensorFlow and PyTorch are amongst supported AI frameworks, and the hardware is integrated into Raspberry Pi’s camera software stack for post-processing tasks such as object detection, image ...

ALPON X5 from Sixfab, launched on Kickstarter, is claimed to be the first industrial-grade edge AI computer based on Raspberry Pi, combining AI acceleration, cellular connectivity and industrial ...

Google's Vision Kit lets you build your own computer-vision system for $45, but you'll need your own Raspberry Pi.

Raspberry Pi 4 owners can now train their own custom models using Edge Impulse's cloud-based development platform for machine learning on edge devices.

The Pico is the first microcontroller board from Raspberry Pi and has been built around the new, custom RP2040 chip.