Tag: AI

We recently saw a Banana Pi BMP-M2S single-board computer that was powered by the powerful Amlogic A311D processor. Prior to the release of Banana Pi BMP-M2S, the Geniatech DB10 AI development board came to light with the same AI processor onboard. The DB10 AI development board is huge...

There have been a few single board computers hitting the market that are built around the powerful Amlogic A311D processor. Recently Geniatech released the DB10 AI development board that also came with the same hardcore processor. You can read the article on the DB10 AI development...

The conventional style of using network connectivity in bringing artificial intelligence models to improve performance and efficiency needs some modification to meet the demands from the embedded systems to the automobile industry. Before directly jumping to the role of AI inference at...

A month back, Seeed Studio dropped a spoiler on LinkedIn regarding their plan to launch yet another product for its XIAO series featuring Raspberry Pi’s first in-house silicon tape out RP2040 SoC. A couple of years back, Seeed Studio released its hardware in the XIAO series with one...

MYIR introduces the VECP Starter Kit, a complete Vision Edge Computing Platform designed to support excellent image processing for typical applications like Machine Vision, Industry, IoT, Medical and more others in different areas of business and everyday life. The VECP Starter Kit...

You don’t usually find a new AI development board by Arduino in the documentation before the release. For the Bosch Sensortec IoT Innovation Challenge, the first batch of the AI board has been sent to the participants. If you are interested in getting your hands on this new Arduino...

For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has...

Increased interest in Edge computing in recent times has led to the development of several frameworks to facilitate the deployment of AI/ML models on microcontrollers. There are, however, issues of performance with most of the frameworks as they are mostly scaled-down version of server...