We have some important news to share about HackSpace: Issue 81 was the last issue of HackSpace as a standalone magazine, and HackSpace has become part of The MagPi, the official Raspberry Pi magazine. Starting with issue 145, We’ll be adding pages to The MagPi to make room for the stories and tutorials you’ve come to expect from HackSpace.
By Ben Everard. Posted
You can run neural networks on your Raspberry Pi, but they’re demanding and can suck up a lot of your processor time – especially if you’re using a Raspberry Pi Zero. This HAT lets you offload some of the processing of neural networks to an additional processor, the Kendryte K210. This isn’t as powerful as some of the other neural network accelerators – running at about 0.5 TOPS. But it doesn’t suck up too much electricity and is convenient to use.
Pre-trained models will be available for object detection and face detection, but if you want to dig into TensorFlow, you can create your own. While TensorFlow development is quite an involved affair, you can run existing models without too much difficulty from Python. If you’ve already got a heavy workload on your Raspberry Pi, this is a great way to add a little extra compute power to enable AI.
$38, from crowdsupply.com
Vintage smart radio
All the magic of this build is on the inside
Useless robot
A lot of machines are useless; this one is useless by design
Solar water bottle
Treating water with UV light kills harmful bacteria
ePiPod
Raspberry Pi Zero 2 W adds computing power without breaking the bank here
Arc reactor alarm clock
Wake up like a superhero
Cyber clock
Is it a mouse? Is it a car? No, it's a clock!
