Just a few weeks ago, we reported on a US NASA project to track the path and estimate the size of meteoroids in the sky using a distributed network of a handful of cameras. It turns out that there’s a similar French effort, and it’s even cooler: the Fireball Recovery and InterPlanetary Observation Network (FRIPON). (The name is cute, if the acronym is contrived: a “fripon” is a trickster in French.)
Code Like An Egyptian
[Marcelo Maximiano’s] son had a school project. He and a team of students built “The Pyramid’s Secret“–an electronic board game using the Arduino Nano. [Marcelo] helped with the electronics, but the result is impressive and a great example of packaging an Arduino project. You can see a video of the game, below.
In addition to the processor, the game uses a WT5001M02 MP3 player (along with an audio amplifier) to produce music and voices. There’s also a rotary encoder, an LCD, a EEPROM (to hold the quiz questions and answers), and an LED driver. There’s also a bunch of LEDs, switches, and a wire maze that requires the player to navigate without bumping into the wire (think 2D Operation).
Ask Hackaday: What’s Your Favorite Internet Relic?
[Sadiq Mohamed] posted this great list of light bulb jokes in our post about drones changing light bulbs. This favored relic used to exist on a Compuserve SIG, but fortunately a dedicated user had saved the list.
There have been virtual worlds long before our computers could render anything but potatoes with anime faces. Bulletin boards, mailing lists, and forums dominated and then fell, for the most part, to social media. In a way even the personal home page has gone to the wayside. (remember geocities?)
The internet has gone through many phases of development. We’ve experimented with lots of concepts and when they fail or go out of style, there are ghost towns of information left untouched.
However, we remember. I still think fondly of my old shell server. Some of it is even history worthy enough to be in the books. What’s your favorite piece of internet gone by or just plain internet obscura? An old joke? A book five layers deep in a file structure somewhere. Or maybe just the 1959 definition of the word, “hack,” in the Tech Model Railroad Club’s first edition dictionary.
Do You Miss The Sound Of Your Model M?
There is one aspect of desktop computing in which there has been surprisingly little progress over the years. The keyboard you type on today will not be significantly different to the one in front of your predecessor from the 1970s. It may weigh less, its controller may be less power-hungry, and its interface will be different, but the typing experience is substantially identical. Or at least, in theory it will be identical. In fact it might be worse than the older peripheral, because its switches are likely to be more cheaply made.
![The famous buckled springs in operation. Shaddim [CC BY-SA 3.0], via Wikimedia Commons.](https://hackaday.com/wp-content/uploads/2016/11/bucklingspring-animation-300ms.gif)
Continue reading “Do You Miss The Sound Of Your Model M?”
Beautiful DIY Ambilight Display
A proper battlestation — or more colloquially, computer desk — setup can sometimes use a bit of technical flair to show off your skills. [fightforlife2] has shared their DIY ambilight monitor backlighting that flows through different colours which mimic what is displayed on the screen.
[fightforlife2]’s setup uses fifty RGB LEDs with individual controllers that support the FastLED library, regulated by an Arduino Nano clone — although any will suffice. The power requirement for the display was a bit trickier, ultimately requiring 3 amperes at 5V; an external power brick can do the trick, but [fightforlife2] also suggests the cavalier solution of using your computer power supply’s 5V line — adding the convenience of shutting off the ambilight display when you shut down your PC!
The Zero Ohm Resistor
What’s your favorite value of resistor? 1K? 10K? They’re all fine, but when you need nearly no resistance at all, nothing beats the good old zero-ohm resistor.
Wait a minute! Resistors are supposed to resist current. What the heck does a zero-ohm resistor do? Well, the short story (tee-hee!) is that it’s like a jumper for single-sided surface-mount boards. In the bad old days, companies used to save money by running single-sided boards, and you could buy wire jumpers to help make the layout that much easier.
Fast forward to the modern era, where there’s not a through-hole component to be seen. What’s the resistance (ideally) of a wire? Zero ohms. And thus the zero-ohm resistor was born. We have a whole spool of them in our closet in 1206, the largest SMD size that we use, in order to be able to sneak two or three tracks underneath, even on a home-etched board. They’re great.
Anyway, what set us off rhapsodizing about the lowest value resistor was this article on the peculiarities of the zero ohm resistor. Of course, nothing has zero resistance, and the article walks you through some of their real-world properties. Enjoy!
Talking Neural Nets
Speech synthesis is nothing new, but it has gotten better lately. It is about to get even better thanks to DeepMind’s WaveNet project. The Alphabet (or is it Google?) project uses neural networks to analyze audio data and it learns to speak by example. Unlike other text-to-speech systems, WaveNet creates sound one sample at a time and affords surprisingly human-sounding results.
Before you rush to comment “Not a hack!” you should know we are seeing projects pop up on GitHub that use the technology. For example, there is a concrete implementation by [ibab]. [Tomlepaine] has an optimized version. In addition to learning English, they successfully trained it for Mandarin and even to generate music. If you don’t want to build a system out yourself, the original paper has audio files (about midway down) comparing traditional parametric and concatenative voices with the WaveNet voices.
Another interesting project is the reverse path — teaching WaveNet to convert speech to text. Before you get too excited, though, you might want to note this quote from the read me file:
“We’ve trained this model on a single Titan X GPU during 30 hours until 20 epochs and the model stopped at 13.4 ctc loss. If you don’t have a Titan X GPU, reduce batch_size in the train.py file from 16 to 4.”
Last time we checked, you could get a Titan X for a little less than $2,000.
There is a multi-part lecture series on reinforced learning (the foundation for DeepMind). If you wanted to tackle a project yourself, that might be a good starting point (the first part appears below).






