Designing AI applications is about to get easier for Raspberry Pi users. As of today, the Raspberry Pi 4 is an officially supported platform within the Edge Impulse ecosystem. For those unfamiliar, Edge Impulse makes machine learning accessible on a number of platforms, the most recently supported being our favorite SBC.
With this new support, users will be able to create original models that can be used in custom machine learning applications all from within the Edge Impulse Studio.
(Image credit: Edge Impulse, Raspberry Pi Foundation)
As with many AI-based Raspberry Pi projects, you'll need something for input to use with the machine learning system. Users can install a microphone, camera or even use both as input for their machine learning application.
Accompanying the new support is the release of three new SDKs including Node.js, Go, Python and C++. These aim to help the model integration process when training AI with custom data from the Pi.
You can read more about how the system works on the official Raspberry Pi blog and read more about the new Pi support on the Edge Impulse website.
Stay On the Cutting Edge: Get the Tom's Hardware Newsletter
Get Tom's Hardware's best news and in-depth reviews, straight to your inbox.
Ash Hill is a contributing writer for Tom's Hardware with a wealth of experience in the hobby electronics, 3D printing and PCs. She manages the Pi projects of the month and much of our daily Raspberry Pi reporting while also finding the best coupons and deals on all tech.
