Dance and house music exploded in a big way at the end of the 1980s. Typically the product of well-equipped studios with samplers and mixers worth thousands of dollars, it was difficult for the home gamer to get involved. That was, until the advent of the glorious Amiga, as [cTrix] ably demonstrates.
Sampling on your Amiga often meant sneaking off with the family hi-fi.
The video explains the history of both the music and the hardware, and highlights just why the Amiga was so special. Packing stereo audio and a four-channel sound chip, it had the grunt to pump out the tunes. All it was lacking was an audio input – which is where third-party hardware stepped in. Parallel-port analog-to-digital converters hit the market in a big way, letting users sample audio on their home computer without breaking the bank.
[cTrix] then proceeds to demonstrate how one would go about producing a dance track on an Amiga way back in 1990. A home stereo is used to play records, hooked up to a Stereo Master parallel port sampler. With a bunch of drum, piano, and synth samples recorded and saved on disk, a tracker is then used to assemble the track. It’s then compared with other music from the era as a great example of how things used to be done.
Overall, the Amiga will long have a legacy as the machine that brought real multimedia capabilities to the home computer. It’s one of our favourites, though keeping them going can be tough sometimes. Video after the break.
Custom audio greeting cards are a trifling gimmick, and a hefty investment compared to their paper-based colleagues. However, the technology inside can be twisted and hacked towards more interesting ends, as [lonesoulsurfer] demonstrates with his sound-bending build.
Rather then go to the trouble and expense of gutting a greeting card, [lonesoulsurfer] simply purchases the sound recording module off eBay which often turns out cheaper anyway. It’s hacked with a couple extra buttons and a speed control, and then wired up with a reverb module that itself gets tweaked to add an echo mode. It’s all bundled up with a speaker and microphone and installed in a case that formerly held an ignition tuning analyzer from the 1970s.
The final result is quite handsome, with a wooden panel holding the speaker and a smattering of knobs, buttons, and switches to play with. After recording an audio sample, it’s possible to speed it up, slow it down, and add echo and reverb until you’re left with something unrecognizable and weird. We’ve actually seen similar projects before, like this author’s first ever article for these hallowed pages. Video after the break.
Online mapping services pack in a lot of functionality that their paper-based forebearers could simply never imagine. Adding in metadata for local landmarks, businesses and respective reviews, and even live traffic data, they have the capability to deliver more information than ever before – and also correspondingly, shape human behaviour. [Simon Weckert] decided to explore this concept with a cheeky little hack.
Pictured: All it takes to create a traffic jam on Google Maps!
The hack targets the manner in which Google collects live traffic data for display on Google Maps. When users load the app, Google takes location data from individual phones, tracking them as they travel along roadways. Large numbers of users travelling slowly down a road indicate there’s heavy traffic, and thus Google will display corresponding warnings on their maps and redirect users to take alternative paths.
To pull off the hack, [Simon] placed 99 smartphones in a handy-cart, tugging them behind him as he walked slowly down a series of streets. In the video, this is overlaid with Google’s map data captured at the time. The app updates the maps with orange and red lines down the roads which [Simon] travelled with his 99 pretend drivers, indicating a traffic jam.
We’d love to know whether [Simon] ran 99 individual SIM cards with data access, or if the hack was perpetrated with the use of a WiFi hotspot for cheaper internet access. Reddit comments note that Google will likely swiftly work on methods to prevent such tomfoolery in future. It’s simple to see that 99 individual users reporting the exact same location and speed at the same time would be trivial to filter out from traffic monitoring in future.
It’s both a commentary on the power we give these apps in our lives, as well as a great demonstration of how easily such systems can be trifled with. We first reported on Google’s traffic monitoring back in 2009, when it was a technology in its infancy. Video after the break.
Philosophers have long mused about the concept of a “brain in a jar”, but thus far, it’s remained the preserve of science fiction rather than reality. However, after reading some scientific papers, [Justin] wanted to attempt the feat himself, so set out to grow some human neurons on an electrode array.
The project builds on [Justin]’s earlier work, using his DC sputtering rig to coat a glass microscope slide with electrodes. The first layer is silver for high conductivity, with an added gold layer for biocompatibility. The screw cap from a Falcon tube is then epoxied on to act as a reservoir for culture media for the neurons. Finally, an air filter is added to allow the biological mixture to breathe.
This was [Justin]’s first attempt at culturing neurons, and there were plenty of hurdles along the way. The custom culture assemblies had issues with the epoxy bonds leaking or failing entirely, leading to only one slide making it through the sterilization process. Additionally, the neurons were accidentally added in too high a quantity. While some growth was observed under the microscope, [Justin] was unable to detect any real signal from the system.
Despite a poor final result, plenty was learned along the way. [Justin] has already put plans into place to fix some of the pitfalls of the original experiment, and we look forward to seeing future updates from the project. Video after the break.
Companion robots are a breed that, heretofore, we’ve primarily seen in cinema. Free from the limits of real-world technology, they manage to be charismatic, cute, and capable in ways that endear them to audiences the world over. Jorvon Moss and Alex Glow decided that this charming technology shouldn’t just live on the silver screen, and have been developing their own companion bots to explore this field. Lucky for us, they came down to Hackaday Superconference to tell us all about it!
The duo use a variety of techniques to build their ‘bots, infusing them with plenty of personality along the way. Jorvon favors the Arduino as the basis of his builds, while Alex has experimented with the Google AIY Vision Kit, BBC Micro:bit, as well as other platforms. Through clever design and careful planning, the two common maker techniques to create their unique builds. Using standard servos, 3D printed body parts, and plenty of LEDs, it’s all stuff that’s readily accessible to the home gamer.
[Alex]’s companion bot, Archimedes, has been through many upgrades to improve functionality. Plus, he’s got a cute hat!Having built many robots, the different companions have a variety of capabilities in the manner they interact. Alex’s robot owl, Archimedes, uses machine vision to find people, and tries to figure out if they’re happy or sad. If they’re excited enough, it will give the person a small gift. Archimedes mounts on a special harness Alex built out of armature wire, allowing the avian to perch on her shoulder when out and about. Similarly, Jorvon’s Dexter lurks on his back, modeled after a monkey. Featuring an LED matrix for emotive facial expressions, and a touch sensor for high fives, Dexter packs plenty of character into his 3D printed chassis.
Alex and Jorvon also talk about some of the pitfalls and challenges they’ve faced through the development of their respective companion bots. Jorvon defines a companion robot as “any robot that you can take with you, on any type of adventure”. Being out in the real world and getting knocked around means breakages are common, with both of the duo picking up handfuls of smashed plastic and bundles of wires at times. Thankfully, with 3D printing being the tool of the trade, it’s easy to iteratively design new components to better withstand the rough and tumble of daily life out and about. This also feeds into the rest of the design process, with Jorvon giving the example of Dexter’s last minute LED upgrades that were built and fitted while at Supercon.
Develop on companion bots is never really finished. Future work involves integrating Chirp.io data-over-sound communications to allow the bots to talk. There’s been some headaches on the software side, but we look forward to seeing these ‘bots chatting away in their own droid language. While artificial intelligence doesn’t yet have homebrew companion bots matching the wisecracking droids seen in movies, designing lifelike bodies for our digital creations is a big step in that direction. With people like Alex and Jolyon on the case, we’re sure it won’t be long before we’re all walking around with digital pals on our shoulders — and it promises to be fun!
Nuclear power is great if you want to generate a lot of electricity without releasing lots of CO2 and other harmful pollutants. However, the major bugbear of the technology has always been the problem of waste. Many of the byproducts from the operation of nuclear plants are radioactive, and remain so for thousands of years. Storing this waste in a safe and economical fashion continues to be a problem.
Alternative methods to deal with this waste stream continue to be an active area of research. So what are some of the ways this waste can be diverted or reused?
Fast Breeders Want To Close The Fuel Cycle
The Superphénix reactor in France is one of a handful of operational fast-neutron reactor designs.
One of the primary forms of waste from a typical nuclear light water reactor (LWR) is the spent fuel from the fission reaction. These consist of roughly 3% waste isotopes, 1% plutonium isotopes, and 96% uranium isotopes. This waste is high in transuranic elements, which have half-lives measured in many thousands of years. These pose the biggest problems for storage, as they must be securely kept in a safe location for lengths of time far exceeding the life of any one human society.
The proposed solution to this problem is to instead use fast-neutron reactors, which “breed” non-fissile uranium-238 into plutonium-239 and plutonium-240, which can then be used as fresh fuel. Advanced designs also have the ability to process out other actinides, also using them as fuel in the fission process. These reactors have the benefit of being able to use almost all the energy content in uranium fuel, reducing fuel use by 60 to 100 times compared to conventional methods.
Robotic animal companions were once all the rage, though their limited personalities and annoying sound effects often relegated them to the bin fairly quickly. This makes them all the more ripe for hacking. [David Bynoe] had a Baby Butterscotch that was in need of a new home, and he decided to put the pony to work at his local hackerspace.
The Baby Butterscotch pony is a charming beast in stock form, yet highly menacing once its skin is removed. Mounted to a plaque, the pony has three PIR sensors that detect movement. These sensors are used to allow the pony to act as a door greeter, waking up when people enter the hackerspace and following them around the room. The additional hardware interfaces with the pony’s stock electronics by using floating capacitors and relays to activate the original capacitive touch sensors. The final piece is finished with a coat of gold paint and some RGB eyes to complete the look.
