Wrap Your Mind Around Neural Networks

Artificial Intelligence is playing an ever increasing role in the lives of civilized nations, though most citizens probably don’t realize it. It’s now commonplace to speak with a computer when calling a business. Facebook is becoming scary accurate at recognizing faces in uploaded photos. Physical interaction with smart phones is becoming a thing of the past… with Apple’s Siri and Google Speech, it’s slowly but surely becoming easier to simply talk to your phone and tell it what to do than typing or touching an icon. Try this if you haven’t before — if you have an Android phone, say “OK Google”, followed by “Lumos”. It’s magic!

Advertisements for products we’re interested in pop up on our social media accounts as if something is reading our minds. Truth is, something is reading our minds… though it’s hard to pin down exactly what that something is. An advertisement might pop up for something that we want, even though we never realized we wanted it until we see it. This is not coincidental, but stems from an AI algorithm.

At the heart of many of these AI applications lies a process known as Deep Learning. There has been a lot of talk about Deep Learning lately, not only here on Hackaday, but all over the interwebs. And like most things related to AI, it can be a bit complicated and difficult to understand without a strong background in computer science.

If you’re familiar with my quantum theory articles, you’ll know that I like to take complicated subjects, strip away the complication the best I can and explain it in a way that anyone can understand. It is the goal of this article to apply a similar approach to this idea of Deep Learning. If neural networks make you cross-eyed and machine learning gives you nightmares, read on. You’ll see that “Deep Learning” sounds like a daunting subject, but is really just a $20 term used to describe something whose underpinnings are relatively simple.

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Keep an Eye on the Sky With rDuinoScope

We’ve all enjoyed looking up at a clear night sky and marveled at the majesty of the stars. Some of us have even pointed telescopes at particular celestial objects to get a closer view. Anyone who’s ever looked at anything beyond Jupiter knows the hassle involved.  It is most unfortunate that the planet we reside on happens to rotate about a fixed axis, which makes it somewhat difficult to keep a celestial object in the view of your scope.

It doesn’t take much to strap a few steppers and some silicon brains to a scope to counter the rotation of earth, and such systems have been available for decades. They are unfortunately quite expensive. So [Dessislav Gouzgounov] took matters into his own hands and developed the rDuinoScope – an open source telescope control system.

Based on the Arduino Due, the systems stores a database of 250 stellar objects. Combined with an RTC and GPS, the rDunioScope can locate and lock on to your favorite nebula and track it, allowing you to view it in peace. Be sure to grab the code and let us know when you have your own rDuinoScope set up!


Hanging 3D Printer Uses Entire Room As Print Bed

There are many things people do with spare rooms. Some make guest rooms, others make baby rooms, while a few even make craft rooms. What do hackers do with spare rooms? Turn them into giant 3D printers of course. [Torbjørn Ludvigsen] is a physics major out of Umea University in Sweden, and built the Hangprinter for only $250 in parts. It follows the RepRap tradition of being completely open source and made mostly from parts that it can print.

The printer is fully functional, proven by printing a five-foot tall model of the Tower of Babel. [Torbjorn] hopes to improve the printer to allow it to print pieces of furniture and other larger household items.

[Torbjorn] hopes that 3D printing will not go down the same road that 2D printing went, where the printers are designed to break after so many prints. Open source is the key to stopping such machines from getting out there.

Thanks to [Jeremy Southard] for the tip!

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Animated Picture Frame Needs Charging Once Per Month

[Kyle Stewart-Frantz] took one look at a black and white photo of a mountain stream, and decided it was way too boring. How much cooler would it be if the water was moving! Like any good hacker worth his weight in 2N2222s, [Kyle] set out to make his idea a reality. After discovering some pricey options, he found a Kindle Paperwhite with a display that had decent resolution and 16 levels of grey. But would 16 levels be sufficient to produce an animation that’s pleasing to the eye?

After stumbling upon a community dedicated to hacking Kindles, [Kyle] got to work. Using a custom Amazon command called eips, he was able to access the display’s memory location and paint images to it. The next trick was to write a script that called the command multiple times to produce a GIF-like animation effect.  This… didn’t work so well. He then found some code from [GeekMaster] (thanks for the tip!) that ran a specialized video player on the Kindle that used something called ordered dithering. After a few more tweaks, he got everything working and the end result looks like something straight out of the world of Harry Potter.

The animated picture frame can run for three to four weeks between charges. This is a hack that would make a great gift and look nice in your office. If you make one, be sure to put the skull and wrenches on it first and let us know!

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Flexible Quadcopter Is Nearly Indestructible

We’ve all crashed quadcopters. It’s almost inevitable. Everything is going along fine and dandy ’till mother nature opens her big mouth a blows a nasty gust of wind right at you, pushing your quad into the side of a wall. A wall that happens to be composed of a material that is quite a bit harder than your quadcopter. “What if…” you ask yourself while picking up the pieces of you shiny new quad off the ground… “they made these things out of flexible material?”

Well, it would appear someone has done just that. The crash resistant quadcopter is composed of a flexible frame (obviously) which is held rigid with magnets. So the frame works just like the frame of your average quad. Until you crash it, of course. Then it becomes flexible.

The idea came from the wing of a wasp, which you can apparently crumple without damaging it. Be sure to check out the video below of the drone showing off its flexible frame, and let us know if you’ve seen any other types of flexible frame drones in the wild.

Thanks to [JDHE] for the tip!

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Super Computing with Mini ITX Cluster

[Colin Alston] was able to snag a handful of Mini ITX motherboards for cheap and built a mini super computer he calls TinyJaguar. Named partly after the AMD Sempron 2650 APU, the TinyJaguar boasts four, yes that’s four MSI AM1I Mini-ITX motherboards, each with 4GB of DDR memory.

A Raspberry Pi with custom software manages the cluster, and along with some TTL and relays, controls the power to the four nodes. The mini super computer resides in a custom acrylic case held together by an array of 3D printed parts and fasteners.There’s even a rack-like faceplate near the bottom to host the RPi, an Ethernet switch, an array of status LEDs, and the two buttons.

With 16 total cores of computing power (including GPU), the TinyJaguar is quite capable of doing some pretty cool stuff such as running Jupyter notebook with IPyParallel. [Colin] ran into some issues getting the GPU to behave with PyOpenCL. It took a bit of pain and time, but in the end he was able to get the GPUs up, and wrote a small message passing program to show two of the cores were up and working together.

Be sure to check out [Colin’s] super computer project page, specifically the ten project logs that walk through everything that went into this build. He also posted his code if you want to take a look under the hood.

Storing Data on a Single Atom

In the electronics industry, the march of time brings with it a reduction in size. Our electronic devices, while getting faster, better and cheaper, also tend to get smaller. One of the main reasons for this is the storage medium for binary data gets smaller and more efficient. Many can recall the EPROM, which is about the size of your thumb. Today we walk around with SD cards that can hold an order of magnitude more data, which can fit on your thumb’s nail.

Naturally, we must ask ourselves where the limit lies. Just how small can memory storage get? How about a single atom! IBM along with a handful international scientists have managed to store two bits of information on two pairs of holmium atoms. Using a scanning tunneling microscope, they were able to write data to the atoms, which held the data for an extended period of time.

Holmium is a large atom, weighing in at a whopping 67 AMU. It’s a rare earth metal from the lanthanide series on the periodic table. Its electron configuration is such that many of the orbiting electrons are not paired. Recall from our article on the periodic table that paired electrons must have opposite spin, which has the unfortunate consequence of causing the individual magnetic fields to cancel. The fact that holmium has so many unpaired electrons makes it ideal for manipulation.

While you won’t be seeing atom-level memory on the next Raspberry Pi, it’s still neat to see what the future holds.

Thanks to [Itay] for the tip!

Via Gizmodo.