Tag: Edge AI

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...

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...

We have come across multiple hardware development boards and MCUs that employ Edge AI for processing and computing. On the other hand, cloud computing was traditionally preferred as an alternative for implementation due to its scalability and easier to develop applications on the cloud...

With the increasing popularity of the NVIDIA Jetson Xavier NX for its high-performance best-in-class deep learning accelerator, many manufacturers in the embedded electronic devices have started to release modules that work on this AI-edge device. One of the most recent releases was the...