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Hardware justine-haupt.com

An open source DIY rotary cellphone 👏

Why a rotary cellphone? Because in a finicky, annoying, touchscreen world of hyperconnected people using phones they have no control over or understanding of, I wanted something that would be entirely mine, personal, and absolutely tactile, while also giving me an excuse for not texting.

This reminds me a bit of the finding your analog conversation we had at the end of The Changelog #378. What’s super cool about this phone is that it is super functional!

So it’s not just a show-and-tell piece… My intent is to use it as my primary phone. It fits in a pocket.; It’s reasonably compact; calling the people I most often call is faster than with my old phone, and the battery lasts almost 24 hours.

An open source DIY rotary cellphone 👏

Hardware blog.athrunen.dev

Learning hardware programming as a software engineer

I’ve had never really come into contact with hardware programming, working mostly in python or C#, until a friend of mine asked me for some help with programming a simple controller for RGB strips using Arduino Nanos.

We’d, of course, fail spectacularly.

Not only did our hardware not work quite like intended and a few Nanos died in the process(but that’s a story for another time), but I actually learned a lot from this and similar projects.

And I want to tell you some of my mistakes, what I learned by making them and how to prevent them.

Learning hardware programming as a software engineer

NVIDIA Developer Blog Icon NVIDIA Developer Blog

NVIDIA Jetson Nano - A $99 computer for embedded AI

Google, Intel, and others have recently been targeting AI at the edge with things like Coral and the Neural Compute Stick, but NVIDIA is taking things a step farther. They just announced the Jetson Nano, which is a $99 computer with 472 GFLOPS of compute performance, an integrated NVIDIA GPU, and a Raspberry Pi form factor. According to NVIDIA:

The compute performance, compact footprint, and flexibility of Jetson Nano brings endless possibilities to developers for creating AI-powered devices and embedded systems.

And it’s not only for inference (which is the main target of things like Intel’s NCS). The Jetson Nano can also handle AI model training:

since Jetson Nano can run the full training frameworks like TensorFlow, PyTorch, and Caffe, it’s also able to re-train with transfer learning for those who may not have access to another dedicated training machine and are willing to wait longer for results.

Check it out! You can pre-order now.

Machine Learning fastcompany.com

Pentagram designed the prettiest computer chip you’ve ever seen

These IPUs (Intelligence Processing Units — a term new to me) with visual design by Pentagram for Graphcore are really pretty. Also, I think the tech may be cool but it’s a bit over my head so maybe you can tell me?

Here is their brief spiel:

Our IPU systems are designed to lower the cost of accelerating AI applications in cloud and
enterprise datacenters to increase the performance of both training and inference by up to
100x compared to the fastest systems today.

Pentagram designed the prettiest computer chip you’ve ever seen

Mozilla Icon Mozilla

"Project Things" by Mozilla

I recently bought into Samsung’s SmartThings (which is not open), but this open source announcement from Mozilla has me rethinking my choice.

Project Things is an open framework for connecting your devices to the web.

Let’s welcome the Mozilla IoT team and all their sources to GitHub.

Also, check out their Web Thing API spec to see how Mozilla is leading the way to an open standard for IoT.

Sam Soffes soffes.blog

Custom Mechanical Keyboard

Thanks to Sam Soffes for this great idea to make your mechanical keyboard your own.

I ordered a mechanical keyboard from WASD Keyboards awhile back. A few months in, I decided to design new keycaps. It’s fairly cheap to order a new set, so you can change your mind often if you’re into that. Here’s my latest iteration…

Custom Mechanical Keyboard
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