August 16, 2018 — Erez Kaminski, Wolfram Technology Specialist, Wolfram Technology Group
For the past two years, FOALE AEROSPACE has been on an exhilarating journey to create an innovative machine learning–based system designed to help prevent airplane crashes, using what might be the most understated machine for the task—the Raspberry Pi. The system is marketed as a DIY kit for aircraft hobbyists, but the ideas it’s based upon can be applied to larger aircraft (and even spacecraft!).
FOALE AEROSPACE is the brainchild of astronaut Dr. Mike Foale and his daughter Jenna Foale. Mike is a man of many talents (pilot, astrophysicist, entrepreneur) and has spent an amazing 374 days in space! Together with Jenna (who is currently finishing her PhD in computational fluid dynamics), he was able to build a complex machine learning system at minimal cost. All their development work was done in-house, mainly using the Wolfram Language running on the desktop and a Raspberry Pi. FOALE AEROSPACE’s system, which it calls the Solar Pilot Guard (SPG), is a solar-charged probe that identifies and helps prevent loss-of-control (LOC) events during airplane flight. Using sensors to detect changes in the acceleration and air pressure, the system calculates the probability of each data point (an instance in time) to be in-family (normal flight) or out-of-family (non-normal flight/possible LOC event), and issues the pilot voice commands over a Bluetooth speaker. The system uses classical functions to interpolate the dynamic pressure changes around the airplane axes; then, through several layers of Wolfram’s automatic machine learning framework, it assesses when LOC is imminent and instructs the user on the proper countermeasures they should take.
July 24, 2018 — Jon McLoone, Director, Technical Communication & Strategy
A couple of weeks ago I shared a package for controlling the Raspberry Pi version of Minecraft from Mathematica (either on the Pi or from another computer). You can control the Minecraft API from lots of languages, but the Wolfram Language is very well aligned to this task—both because the rich, literate, multiparadigm style of the language makes it great for learning coding, and because its high-level data and computation features let you get exciting results very quickly.
Today, I wanted to share four fun Minecraft project ideas that I had, together with simple code for achieving them. There are also some ideas for taking the projects further.
July 5, 2018 — Jon McLoone, Director, Technical Communication & Strategy
The standard Raspbian software on the Raspberry Pi comes with a basic implementation of Minecraft and a full implementation of the Wolfram Language. Combining the two provides a fun playground for learning coding. If you are a gamer, you can use the richness of the Wolfram Language to programmatically generate all kinds of interesting structures in the game world, or to add new capabilities to the game. If you are a coder, then you can consider Minecraft just as a fun 3D rendering engine for the output of your code.
April 27, 2017 — Brett Haines, Junior Release Engineer
Ever since the partnership between the Raspberry Pi Foundation and Wolfram Research began, people have been excited to discover—and are often surprised by—the power and ease of using the Wolfram Language on a Raspberry Pi. The Wolfram Language’s utility is expanded even more with the addition of the Sense HAT, a module that gives the Raspberry Pi access to an LED array and a collection of environmental and movement sensors. This gives users the ability to read in data from the physical world and display or manipulate it in the Wolfram Language with simple, one-line functions. With the release of Mathematica 11, I’ve been working hard to refine functions that connect to the Sense HAT, allowing Mathematica to communicate directly with the device.
August 26, 2016 — Zach Littrell, Technical Content Writer, Technical Communications and Strategy Group
We are constantly surprised by what fascinating applications and topics Wolfram Language experts are writing about, and we’re happy to again share with you some of these amazing authors’ works. With topics ranging from learning to use the Wolfram Language on a Raspberry Pi to a groundbreaking book with a novel approach to calculations, you are bound to find a publication perfect for your interests.
July 21, 2015 — Emily Suess, Technical Writer, Technical Communications and Strategy Group
Wolfram Community connects you with users from around the world who are doing fun, innovative, and useful things with the Wolfram Language. From game theory and connected devices to astronomy and design, here are a few posts you won’t want to miss.
Are you familiar with the Reddit 60-second button? The Reddit experiment was a countdown that would vanish if it ever reached zero. Clicking a button gave the countdown another 60 seconds. One Community post brings Wolfram Language visualization and analysis to Reddit’s experiment, which has sparked questions spanning game theory, community psychology, and statistics. David Gathercole started by importing a dataset from April 3 to May 20 into Mathematica and charted some interesting findings. See what he discovered and contribute your own ideas.
June 18, 2015 — Bernat Espigulé-Pons, Consultant, Technical Communications and Strategy Group
“All of us are makers. We’re born makers. We have this ability to make things, to grasp things with our hands. We use words like ‘grasp’ metaphorically to also think about understanding things. We don’t just live, but we make. We create things.”
I joined the maker movement last year, first by making simple things like a home alarm system, then by becoming a mentor in local hackathons and founding a Wolfram Meetup group in Barcelona. There is likely an open community of makers that you can join close to where you live; if not, the virtual community is open to everyone. So what are you waiting for? With the Raspberry Pi 2 combined with the Wolfram Language, you really have an amazing tool set you can use to make, tinker, and explore.
May 1, 2015 — Bernat Espigulé-Pons, Consultant, Technical Communications and Strategy Group
On Friday, February 20, I had the pleasure of giving a talk to a group of young and smart individuals enlisted to represent Barcelona in the Global Urban Datafest. For this hackathon, the organizers offered one Raspberry Pi platform per team and a variety of sensors to capture physical parameters. Their list of suggested project topics included data acquisition and actuation, monitoring and management, security transport and mobility, the environment, and more. The event lasted three days and was locally organized by Anna Calveras and Josep Paradells with the help of Universitat Politècnica de Catalunya, Barcelona’s City Council, iCity Project, Urbiotica, IBM, and Wolfram Research.
April 21, 2015 — Jenna Giuffrida, Content Administrator, Technical Communications and Strategy Group
What do genealogy, linear algebra, and the Raspberry Pi have in common? Not much, but they come together in this diverse and engaging assortment of books by the international community of authors employing Wolfram technologies in their work.
March 17, 2015 — Arnoud Buzing, Director of Quality and Release Management
Recently Stephen Wolfram announced the Wolfram Data Drop, which is a great new tool to upload any type of data from any type of device. I’ll show how you can use the Wolfram Data Drop with a weather station you build using some basic hardware and a few lines of code. Once completed, your device will take temperature measurements every second for 60 seconds, and upload their average value to the Wolfram Data Drop every minute. This will give you 60 data points per hour and 1,440 data points per day. With this data you can use Wolfram Programming Cloud to understand how the temperature changes over time. You can find the exact times in a given day when the temperature was the highest or lowest, when the temperature changed the fastest, and maybe even use the data to make predictions! Can you beat your local weather station and make a prediction that is better?