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Google new dev board open doors for AI,resembles Raspberry Pi

Google new dev board open doors for AI,resembles Raspberry Pi

Work on Idea than Working...

Big news followed by bigger things happening, rightly so. Two days back Ludwig library becomes open sourced by Google.

A library for Deep learning where we can test and train models without any real programming skill, that sounds crazy as this library based on the tensor flow enables neural networks to make things easier.

It is the library which Google uses for years to translate, predict queries and now gets open sourced. Literally a strong case for making AI in the real world and improve the data science testing in the world of data.

Find here the ludwig.

Google now opens new module, Coral Dev board - an AI hardware works under MachineLearning concepts of tensor flow, bound to work with data preparations too.

Google Coral Dev Board
The Edge TPU is a small ASIC designed and built by Google that provides high-performance ML inferencing with a low power cost. For instance, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 100+ fps, in a power efficient manner. This allows you to add fast ML inferencing to your embedded AI devices in a power-efficient and privacy-preserving way.

The Edge TPU Module i- an NXP i.MX 8M system on a chip that consists of a quad-core Cortex-A53 and Cortex-M4F, a Vivante GC7000 Lite Graphics graphics processor, 8GB of eMMC storage, and 1GB of LDDR4 RAM. It also features Wi-Fi with 2x2 MIMO (802.11b/g/n/ac 2.4/5GHz) and Bluetooth 4.1. The add-on measures 48mm x 40mm x 5mm. 

The Coral Dev Board is a single-board computer with a removable system-on-module (SOM) that contains SOC, eMMC, wireless radios, and Google’s Edge TPU. It’s perfect for IoT devices and other embedded systems that demand fast on-device ML inferencing.

It works on Debian Linux much like to the design of Raspberry pi, even a look of competition as the device group has a 5mp camera module too.

The AI world with Google products keeps increasing with featuring more data-based systems, the programming crunch will be loved as we start work on ideas than syntax.

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