Panelizing Boards In KiCad

March 12, 2019 by Brian Benchoff 27 Comments

Panelization of printed circuit boards is a very helpful trick for any PCB design tool to have. By panelizing boards, you can get them ready for automated assembly. You can put testing rigs right on the panel. You can combine different boards to reduce your PCB production cost. But Eagle, Fritzing, and KiCad don’t have proper panelization tools, only hacks and third-party tools to get something close to proper panelization. [Flemming] just created a new utility for KiCad that makes multiple copies of a board connected via mouse bites. It’s not complete panelization functionality, but for a lot of us, it’ll be good enough.

The video demo for this utility (try not to click on that because we’re going to blow some bandwidth with this link) starts off by importing a board into Pcbnew, making several copies of the board, arranging these boards to have 3-4mm spacing, and drawing ‘hint lines’ for the script, telling it where the mouse bites should go. The script runs, and boom, mouse bites and a panel.

This is a KiCad specific tool, and we’ve seen other tools for KiCad that make multiple copies of a board. We’ve also seen tools that take raw Gerbers of multiple designs and turn them into a panel. [Flemming]’s efforts are the closest we’ve seen to having all the features you want out of a panelization utility bild exclusively for KiCad.

While this tool will give you a set of Gerbers with multiple copies of a board connected with mouse bites, this is not in any way a complete solution to panelizing PCBs. If you’re panelizing PCBs, you’ll want to add fiducials in the corners of the full panel, which this tool does not allow you to do. You might want to have one complete ‘frame’ as a panel — effectively a rectangular piece of fiberglass that holds all your PCBs — which this tool does not allow you to do. Since you don’t get a frame, it’s impossible to run programming or testing signals to the frame that would be needed for assembly, but not necessary in production. That said, unless you’re going to spend thousand on Altium or use Open tools that have critical flaws such as GerberPanelizer, this is the best option you’ve got.

Speedrunning Windows 95

March 9, 2019 by Zoe Skyforest 37 Comments

Speedrunning is the practice of attempting to beat a videogame in as short a time as possible. There are a huge variety of methods and styles. There are 100% completion speedruns, tool-assisted speedruns, and speedruns that just focus on getting to the game over screen as quickly as possible by hook or by crook. Now, there’s a world record speedrun, installing Windows 95B in just 1 minute 10.9 seconds.

The current best attempts are collected in a Google Sheets document. So far, there have been few competitors but we expect to see more activity in future. The current rules for world record competition require original floppy and CD-ROM images to be used, but there are no limits on hardware, so records should tumble as time goes on. All the top times have been completed in virtual machines, but we’d love to see an attempt made on raw hardware.

It all kicked off when [oscareczek] grew tired of trying to compete in traditional gaming speedruns, so invented a new category instead. Competition has already come a long way from that original 4 minute time, and competitors are now considering advanced techniques such as RAM disks to speed their runs. All keystrokes are by hand at the moment, but we could see a tool-assisted competition starting up in future.

We’ve seen speedrunning techniques pushed to impressive limits before – like running Pong within Super Mario World, just for fun. Video after the break.

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SVG Rendering Comes To 8-bit Atari Computers

March 8, 2019 by Tom Nardi 5 Comments

Bringing modern protocols and techniques to vintage computers is a favorite pastime for hackers, and over the years we’ve seen some absolutely incredible hardware and software projects designed specifically to do what most people would consider impossible. They’re very rarely practical projects, of course. But that’s never really the point.

Today we present another excellent entry into this niche avenue of hacking: Renderific, a tool to render SVGs on 8-bit Atari computers by [Kevin Savetz]. The MIT licensed program is written in Turbo-BASIC XL and allows computers such the 1200XL and 800XL to not only render the image on screen but output it to an attached plotter. There are a few niggling issues with some files, and apparently the plotter draws the image upside-down for some reason, but on the whole we can now add “SVG Rendering” to the list of things you can do with a nearly 40-year-old computer.

Of course, those who are familiar with these 1980’s machines might wonder how their limited CPUs can possibly cope with such a task. Well, that’s where the impracticality comes in. According to [Kevin], you can be in for quite a wait depending on the complexity of the image. In his tests, some SVGs took up to 45 minutes to fully render on the screen, so you might want to have a snack handy.

If you’re interested in lending a hand with the project, it sounds as though [Kevin] could use some assistance in figuring out why the Atari 1020 plotter doesn’t like the output of his program. There’s also a few SVG functions and forms of Bézier curves that need some work if you’ve got your Turbo-BASIC XL programming books handy.

Will you ever have a need to view SVG files on an Atari 1200XL? No, probably not. You might not have a desire to play Spotify on the Macintosh SE/30 either, but that hasn’t stopped hackers from figuring out how you can do it. As long as these old machines are still up and running, we’re confident that the community will continue to teach them new tricks.

Ludwig Promises Easy Machine Learning From Uber

February 25, 2019 by Al Williams 3 Comments

Machine learning has brought an old idea — neural networks — to bear on a range of previously difficult problems such as handwriting and speech recognition. Better software and hardware has made it feasible to apply sophisticated machine learning algorithms that would have previously been only possible on giant supercomputers. However, there’s still a learning curve for developing both models and software to use these trained models. Uber — you know, the guys that drive you home when you’ve had a bit too much — have what they are calling a “code-free deep learning toolbox” named Ludwig. The promise is you can create, train, and use models to extract features from data without writing any code. You can find the project itself on GitHub.io.

The toolbox is built over TensorFlow and they claim:

Ludwig is unique in its ability to help make deep learning easier to understand for non-experts and enable faster model improvement iteration cycles for experienced machine learning developers and researchers alike. By using Ludwig, experts and researchers can simplify the prototyping process and streamline data processing so that they can focus on developing deep learning architectures rather than data wrangling.

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Foundations For Machine Learning In English (Or Russian)

February 22, 2019 by Al Williams 5 Comments

We are big fans of posts and videos that try to give you a gut-level intuition on technical topics. While [vas3k’s] post “Machine Learning for Everyone” fits the bill, we knew we’d like it from the opening sentences:

Machine Learning is like sex in high school. Everyone is talking about it, a few know what to do, and only your teacher is doing it.”

That sets the tone. What follows is a very comprehensive exposition of machine learning fundamentals. There is no focus on a particular tool, instead this is all the underpinnings. The original post was in Russian, but the English version is easy to read and doesn’t come off as a poor machine translation.

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Relive The Dot Matrix Glory Days With Your 3D Printer

February 21, 2019 by Tom Nardi 21 Comments

With the cost of 3D printers dropping rapidly, we’ve started to see a trend of hackers re-purposing them for various tasks. It makes perfect sense; with the hotend and extruder turned off (or removed entirely), you’ve got a machine that can move a tool around in two or three dimensions with exceptional accuracy. Printers modified to carry lasers, markers, and even the occasional rotary tool, are becoming a common sight in our tip line.

Last year [Matthew Rayfield] attached a marker to his 3D printer and had it sketch out some pictures, but recently he decided to revisit the idea and try to put a unique spin on it. The end result is a throwback to the classic dot matrix printers of yore utilizing decidedly modern hardware and software. There’s something undeniably appealing about the low-fi nature of dot matrix printing, and when fed the appropriate images this setup is capable of producing something which we’ve got to admit is dangerously close to being art.

To create these images, [Matthew] has created “Pixels-to-Gcode”, an online service that anyone can use to turn an arbitrary image into GCode they can feed their 3D printer. There’s a number of options available for you to play with so you can dial in the specific effect you’re looking for. Pointillist images can be created using a tight spacing of dots, but widen them up, and your final image becomes increasingly abstract.

The hardware side of this project is left largely as an exercise for the reader. [Matthew] has attached a fine-point pen to his printer’s head using a rubber band, but admits that it’s far from ideal. A more robust approach would be some kind of 3D printed device that allows you to quickly attach your pen or marker so the printer can be easily switched between 2D and 3D modes. We’d also be interested in seeing what this would look like if you used a laser mounted on the printer to burn the dots.

Back in the ancient days of 2012, we saw somebody put together a very similar project using parts from floppy and optical drives. The differences between these two projects, not only in relative difficulty level but end result, is an excellent example of how the hacker community is benefiting from the widespread availability of cheap 3D motion platforms.

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