Tag: Edge AI

A Japanese semiconductor design company, EdgeCortix, has unveiled an energy-efficient AI co-processor for edge intelligence– SAKURA. At the TechInsight’s Linley Spring Processor Conference, the company provided more details on the architecture, performance, and delivery timing for...

We recently covered the release of Mixtile Blade 3 single-board computer, which is going to be launched in Crowdfunding, and comes equipped with Rockchip RK3588 SoC, runs a hybrid Android and Linux distribution. Chinese embedded device manufacturer Mixtile Limited has gone ahead and...

A new single-board computer is hitting crowdfunding very soon! Shenzhen-based embedded device manufacturer Mixtile Limited has unveiled details on its latest Mixtile Blade 3 single-board computer powered by the Rockchip RK3588 system on chip in Pico-ITX form factor. This...

Last month, NVIDIA announced the availability of the Jetson AGX Orin Developer Kit to deliver 275 trillion operations per second for energy-efficient advanced robotics and machine learning applications. There has been a lot of movement around the new NVIDIA developer kit that offers 8...

There have been several recent developments around TinyML and edge AI applications, and to supply the increasing demand from the developer community, many embedded electronic device manufacturers around the world are designing AI development boards. Beijing-based online embedded...

Computer vision applications that range from object detection and pattern recognition to computational healthcare and security surveillance systems take the input image for further processing, which in traditional hardware implementation has a vision sensing and vision processing...

The VIA SOM-9X35 is a low-power quad-core MediaTek i350 based processor board, ideal for IoT solutions and edge AI use cases, like facial recognition, object identification, motion tracking, OCR, and bio-metric measurement. To further accelerate product development time, a VIA SOM-9X35...

Recent breakthroughs in embedded machine learning have increased the demand for TinyML applications. In dealing with TinyML, there is an excellent platform to get started and build complex projects, Edge Impulse. We have also witnessed several new embedded devices coming to market...