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Hackaday editors Mike Szczys and Elliot Williams sort through all of the hacks to find the most interesting hardware projects you may have missed this week. Did you know you can use machine learning without a neural network? Here’s a project that does that on an ATtiny85. We also wrap our minds around a 3D-printed press brake, look at power-saving features of the ESP32 that make it better on a battery, and discuss the IoT coffee maker hack that’s so good it could be a stock feature. Plus we dive into naturally occurring nuclear reactors and admire the common, yet marvelous, bar code.
Take a look at the links below if you want to follow along, and as always tell us what you think about this episode in the comments!
Direct download (58 MB)
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Episode 049 Show Notes:
New This Week:
- Hackaday Belgrade is May 9th!
- Submit your talk: Hackaday Belgrade 2020 Call for Proposals
- Article on Hackaday: Hackaday Belgrade: Call For Proposals
Interesting Hacks of the Week:
- How Low Can An ESP32 Go?
- Tiny Machine Learning On The Attiny85
- Datacenter UPS Heads Home For Off-Grid Power Solution
- Poking Around Inside A Pair Of Classic Gaming Gifts
- Embedding A Smart Switch In A Java Factory
- 3D-Printed Tools Turn Bench Vise Into Expedient Press Brake
Quick Hacks:
- Mike’s Picks:
- Elliot’s Picks:
Can’t-Miss Articles:
The Oldest Nuclear Reactor? Nature’s 2 Billion Year Old Experiment
- The Barcode Revolution: Welcome To Our Automated World
This article was first featured at https://ift.tt/2R1VEJn on January 10, 2020 at 12:07PM by Mike Szczys
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