In this article, I will be talking about how to set up the Jetson Mate from Seeed Studio with a single “master” module. In this article, we will focus on installing a single module (Jetson Mate supports up to four) and booting it to it’s Ubuntu desktop image. By the end of this article, you will:
In this guide, I will be sharing a few of the things I learned about Taipei while touring the city for the Arm Innovator Asia Tour.
If you are a hacker, software engineer, hardware engineer (or, well, anyone) I recommend considering a trip to a small island located below Japan called Taiwan. I recently spent some quality time in Taipei and had the opportunity to experience the people and culture of this great city. I wanted to write about my experience and encourage others to do the same.
This week, Calgary-based MakeFashion unveiled StitchKit, a new Kickstarter campaign to make fashion technology available to everyone! Consisting of a custom Arduino board and sensors, StitchKit was built to provide students, teachers, designers and cosplayers with the components they need to be successful designing their next wearable project.
To celebrate the launch of the StitchKit campaign and better understand the world of MakeFashion, co-founder Chelsea Klukas (@chelscore) was kind enough to share answers to a few of our questions. Read on!
We are very excited to announce the Dronecode China Roadshow 2017 with stops in Shenzhen, Shanghai and Beijing this week, featuring noted technical luminaries from the open source and China drone ecosystem.
Headlined by Lorenz Meier, founder of PX4 and creator of the Pixhawk drone platform, the tour has attracted participation from multiple embedded and drone companies including Arm, Yuneec, DJI, NXP, Aerotenna and more.
The Dronecode roadshow will kick off with an initial event on December 11th in Shanghai, followed by stops in Shenzhen (December 12th) and end in Beijing on December 16th.
Scan the embedded QR code to keep up to date!
Disclaimer: Opinions expressed here are my own and not my employer’s. I work for Arm!
This week, Arm announced an update to Compute Library which includes a variety of new functions to help AI developers make better use of Arm compute hardware. Announced earlier in the year, Compute Library provides embedded developers with a toolkit for building AI-enabled low-cost IoT devices, I wanted to take a minute to talk about why this is an interesting development for hardware developers and makers.
The tour will include stops at Tencent, ZTE and BGI as well as factories for LEDs, CNC & Moulding and PCB manufacturing. Furthermore, participants will get to visit maker spaces, a startup incubator and the famed HQB electronics market.
Alright, so my journey through the box of hardware I got this week from Foxconn and the Banana Pi folks continues. Today’s episode? The Banana Pi M3. So far I have taken a quick look at the Banana Pi BPI-D1 (a small board for tiny embedded camera prototyping) and the Banana Pi M2 Magic (a slightly larger board carrying a quad-core Allwinner A33 SoC).
The Banana Pi M3 is a larger variant of the Banana Pi with several additional capabilities not found on a generic Raspberry Pi board. The folks at Foxconn and Shenzhen SINOVOIP have added an IR Receiver…
After taking a look at the Banana Pi BPI-D1 micro-camera for IoT applications earlier this week, I am moving up the food chain to the Banana Pi M2M, a slightly larger big-brother to the BPI-D1 which sports a quad-core Arm A7 SoC called the Allwinner A33.
With on-board Wi-Fi and Bluetooth, the BPI-M2M offers 512 MB of DDR3 SDRAM and an 8GB eMMC for onboard storage. SD card slot if you need more storage or want to load an OS (very likely).
One of the fun parts of my job working with Arm’s global IoT ecosystem is getting to unbox and play with new IoT gadgets from around the world. This week, I got a very special box from my friends at Foxconn (in partnership with Shenzhen SINOVOIP Co.,Ltd.) containing a few samples of boards from the Banana Pi series.
I wanted to write a little bit about Banana Pi and why it might make a good choice for startups, enterprises, industrial or embedded developers seekinglow-cost variants to the Raspberry Pi and it’s progeny. …
The tiny white orb-shaped robot scuttled across the carpet, its flashing headlamp illuminating the floor before it. “It can recognize faces,” said the hardware engineer in charge of implementing the compact internals of the Xpider. “We are working on a software layer to make it easy to drag-and-drop commands using the onboard neural network engine.”
As I have toured the world attending hardware conferences and Maker Faires, the theme of providing small edge devices with more intelligence has grown stronger with each passing month. …
Hardware, Software, IoT, Edge Computing, Edge AI, fmr Intel, Arm. Edge Computing @ NVIDIA. All opinions are my own.