- Chromebooks and Arduino — two great edtech tastes that taste great together.
- 3rd Person Driving (IEEE) — A Taiwan company called SPTek has figured out a way to use an array of cameras to generate a 3-D “Around View Monitor” that can show you multiple different views of the outside of your car. Use a top-down view for tight parking spaces, a front view looking backward for highway lane changes, or a see-through rear view for pulling out into traffic. It’s not a video game; it’s the next step in safety.
- Lessons Learned in Software Development — omg every word of this.
- Cross-Platform Debugger for Go — take the source code of a target program, insert debugging code between every line, then compile and run that instead. The result is a fully-functional debugger that is extremely portable. In fact, thanks to gopherjs, you can run it right here in your browser!
Blowing open the doors to low-power, on-demand supercomputing
Packing impressive supercomputing power inside a small credit card-sized board running Ubuntu, Adapteva‘s $99 ARM-based Parallella system includes the unique Ephiphany numerical accelerator that promises to unleash industrial strength parallel processing on the desktop at a rock-bottom price. The Massachusetts-based startup recently ran a successfully funded Kickstarter campaign and gained widespread attention only to run into a few roadblocks along the way. Now, with their setbacks behind them, Adapteva is slated to deliver its first units mid-December 2013, with volume shipping in the following months.
What makes the Parallella board so exciting is that it breaks new ground: imagine an Open Source Hardware board, powered by just a few Watts of juice, delivering 90 GFLOPS of number crunching. Combine this with the possibility of clustering multiple boards, and suddenly the picture of an exceedingly affordable desktop supercomputer emerges.
This review looks in-depth at a pre-release prototype board (so-called Generation Zero, a development run of 50 units), giving you a pretty complete overview of what the finished board will look like.
Data Tool, Arduino-like Board, Learn to Code via Videogames, and Creative Commons 4.0 Out
- OpenRefine — (edited: 7 Dec 2013)
Google abandonedGoogle bought Freebase’s GridWorks, turned it into the excellent Refine tool for working with data sets, now picked up and developed by open source community.
- Intel’s Arduino-Compatible Board — launched at MakerFaire Rome. (via Wired UK)
- Game Maven — learn to code by writing casual videogames. (via Greg Linden)
- CC 4.0 Out — The 4.0 licenses are extremely well-suited for use by governments and publishers of public sector information and other data, especially for those in the European Union. This is due to the expansion in license scope, which now covers sui generis database rights that exist there and in a handful of other countries.
Visual Arduino Coding, Hardware Iteration, Segmenting Images, and Client-Side Adjustable Data View
- Visually Programming Arduino — good for little minds.
- Rapid Hardware Iteration at Scale (Forbes) — It’s part of the unique way that Xiaomi operates, closely analyzing the user feedback it gets on its smartphones and following the suggestions it likes for the next batch of 100,000 phones. It releases them every Tuesday at noon Beijing time.
- Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images (PLoS One) — We propose an active learning approach for performing hierarchical agglomerative segmentation from superpixels. Our method combines multiple features at all scales of the agglomerative process, works for data with an arbitrary number of dimensions, and scales to very large datasets.
- Kratu — an Open Source client-side analysis framework to create simple yet powerful renditions of data. It allows you to dynamically adjust your view of the data to highlight issues, opportunities and correlations in the data.
Don't be afraid of the bus
After a short period of time, beginners working with the Arduino development boards often find themselves wanting to work with a greater range of input or sensor devices—such as real-time clocks, temperature sensors, or digital potentiometers.
However each of these can often require connection by one of the two digital data buses, known as SPI and I2C. After searching around the Internet, inexperienced users may become confused about the bus type and how to send and receive data with them, then give up.
This is a shame as such interfaces are quite simple to use and can be easily understood with the right explanation. For example let’s consider the I2C bus. It’s a simple serial data link that allows a master device (such as the Arduino) to communicate with one or more slave devices (such as port expanders, temperature sensors, EEPROMs, real-time clocks, and more).