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

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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.

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

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.

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 ...

From virtualization to AI, some projects are beyond the reach of a Pi. Learn why these 5 workloads necessitate the upgrade to ...

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.