IBM has announced smallest computer, the size of grain of salt.. Check it out here.
So far it has been devices were reaching out to IoT Hub’s and Cloud and using the compute power for Edge and/or main computing apart from data handling, with AWS Greengrass it is reverse current!. You can use IoT and Lambda infrastructure that can trigger actions on devices that are connected via this framework and circuit is complete in terms of usage of the computing power in both directions apart from the existing bi-directional data transmission
Check this link for more.
Launched recently finally. It is catching up with AWS, Azure and IBM Bluemix and much later than PTC etc. But it has data for analytics that can propel it faster to realistic use cases deployment!.
Asus has released a mini PC that is better in specifications for video rendering than Raspberry PI 3, a better Video ‘Pi’ for gaming and movie buffs!.
Comparison of Raspberry PI and Asus Tinkerboard is given below:
|Raspberry Pi 3||Asus Tinker board|
|Chip||Broadcom BCM2837 64-bit system-on-chip with four ARM Cortex-A53, 1.2 GHZ||quad-core, 1.8GHz Rockchip RK3288 SoC|
|GPU||Broadcom VideoCore IV||Mali-T674|
|RAM||1GB LPDDR2 (900MHz)||2GB|
|Bluetooth||Bluetooth 4.1 Classic, Bluetooth Low Energy||Bluetooth 4.0|
|USB||4 USB 2.0||4 USB 2.0|
|HDMI||1 HDMI out||1 HDMI Out|
|Wi-fi||2.4GHz 802.11n||802.11 b/g/n|
|GPIO||40 port||40 port, 28 pin GPIO|
|Video||1080p video/60 fps||4K video – H.265 decoding|
After being the provider of consumer and IoT enthusiasts SoC compute/connect supplier, Raspberry has turned up a model for use in industrial applications.
It is just a compute module, with data pinouts similar to laptop memory sockets that can be programmed to take programmable I/O. It has same four-core, 64-bit Broadcom BCM2837 processor and 1GB of RAM as Raspberry Pi 3, half the size of it and doesn’t have ethernet, Wifi, USB, SD Card, Audio and Display.
NEC is already launching it’s large signage systems with this compute module. Interesting to see the Raspberry portfolio expanding.
Just read the blog of Facebook founder Mark Zuckerburg on his attempt to build a AI server for his home named Jarvis, amazing motivation and drive to get to learn AI and most important I noticed is how he faced the challenge of IoT (trying to connect toaster and other devices).
Other thing I noticed is the language of choice : Python.
Read all about his adventure here