This week. the Internet of Things Podcast crew went to CES to discover that the consumer electronics industry was ALL OVER the internet of things. Yes, Amazon Alexa and Google Assistant starred in everything, and we explain what that means. Plus, we answer a question about bathroom fans taken from the listener hotline. After all that Simon Segars, the CEO of ARM, kindly talks about how to be safe with the massive Spectre and Meltdown security vulnerabilities and gave some context about what this means for the internet of things. Listen up.
When you see a plastic ruler, you wouldn’t normally assume it was destined to become part of a CNC plotter. Maker “lingib,” however, realized their potential to be combined to form plotter arms, in this case actuated by two stepper motors.
The resulting build can expand and contract the resulting shape, allowing a pen at the end point of the two sets of rulers to move back and forth across a piece of paper. Necessary spaces in the plot are provided by a micro servo that can lift the pen/ruler off of the writing surface.
The device is powered by an Arduino Uno, which controls the two NEMA 17 stepper motors via a pair of EasyDriver Modules. You can find more details about how to create one of these, including code and how the geometry behind it works, on its Instructables page.
ARM announced a new architecture for its processors, that I describe over at the Next Platform. For most readers of this blog the announcement of the new architecture will prompt questions about what it means for the internet of things. But this design is aimed at more compute intensive machines, such as mobile phones, networking processors and servers working on artificial intelligence.
The new DynamIQ architecture will provide flexible compute, with up to eight different cores in a single cluster on a system on a chip. Each core can run at a different clock speed so a company making an ARM SoC can tailor the silicon to handle multiple workloads at varying power efficiencies. The DynamIQ architecture also adds faster access to accelerators for artificial intelligence or networking jobs, and a resiliency that allows it to be used in robotics, autonomous driving, or any other application where a device uses lots of compute locally rather than over the network.
So for IoT this may not have much direct effect unless we’re focused on autonomous driving and robotics. For more, go read the story at The Next Platform.