The video above was created using the results from the census on exterior finishes of single-family homes. It looks at the historical use of wood, brick, stucco, vinyl, fiber and ‘other’ options starting in 1977 and ending in 2017. The census accounts for up to 1.6 million houses each year and includes homes across the U.S.A., so provides a broad look at how finishes have risen and fallen in popularity over the full period. These changes in popularity not only account for aesthetic fashionability but also availability, cost and practicality. From a trend perspective, each finish dominated a specific decade, in terms of houses completed in that finish. Brick dominated the 70s, wood dominated the 80s, vinyl, which only became available in the 90s, dominated that decade, and stucco and fiber cement dominated the 2000s. ‘Other’ materials also saw their highest use during the late 80s and 90s.
This spring I reviewed the Packt publishing book Moodle 3 E-Learning Course Development – Fourth Edition
Within a week after it being published I had already recommended it for a teacher/consultant to use it to setup there online training course in support of their book/program. Take a look it is pretty great.
I have just finished reviewing another Moodle book for Packt which should be officially published soon.
We’ve officially entered the big-box DIY machine-learning era.
Starting this week, Target sells the Google AIY kits, both the Voice and Vision variants. These are upgrades of the kits that came out last year, each now using the Raspberry Pi Zero and coming in new retail packaging. Other than that, they retain their assemble-it-yourself cardboard housing and ability to be expanded upon by intrepid makers (although the Voice kit drops some of its output pins by moving from the RPi Model B to the Zero).
The Voice kit lets you build your own Echo/Google Home-style device, interfacing with the Google cloud to answer questions and respond to requests. Meanwhile, the Vision kit, powered by an Intel Movidius-equipped expansion Hat, will identify objects in its camera’s view. It does all its processing on-board.
Long reserved for advanced academics, R&D labs, and supposed secretive government initiatives, AI has grown in accessibility over the past few years, thanks to hardware initiatives from Raspberry Pi, Nvidia, and others, as well as open source software like Google’s TensorFlow. Putting these easy, fun AIY kits onto the shelves of Target stores in every community makes it many steps easier to launch the career of the next machine-learning superstar.
“By working with Target we’re able to massively expand our retail to reach makers and STEM students in the US,” AIY project lead Billy Rutledge tells Make: via email. “As the maker community continues to grow and innovate, having maker products generally available at Target Stores allows more to have access to not just AIY, but other great kits to learn and experiment.”
The new version of the kits now include the Pi Zero and SD card, with a corresponding increase in price ($49 for the Voice Kit, $89 for the Vision Kit). “Based on consumer feedback, we’ve bundled the Raspberry Pi components inside the kits (previously sold separately),” Rutledge says. “So the total cost has always been the amount you see now if you add in the RPi components and SD card.”
Other retail outlets are being explored as well. And for the AIY lineup expanding, Rutledge hints, “Much more to come, we’re just getting started.”
Setup my recently arrived Google AIY/Voice Project and am busy going about customizing the interface. Short a MicroSD card but Amazon will fix that soon enough.
Note: Enjoying the Linux nature of Raspberry Pi as well as all the Python tools and use. Clearly a Confluence Project.
The 3D-printed house prototype showcases a new mobile 3D printing machine.