Category: 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...

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...

The need for efficiency, speed, accuracy, and consistency in hardware design, in recent times, has spurred on the development of several AI systems that take in boundary parameters and return specifications, designs, and architectures to system designers. One of such tools is the...

As strong demands of Edge AI storm across industries, ASRock Industrial delivers the most reliable, flexible, and powerful iEPF-9000S Series/ iEP-9000E Series Ruggedized Edge AIoT Platform with wide connectivity options (5G/4G, WiFi-6, BLE-5.1). It is capable and compact, a...

AAEON, a leader in AI edge solutions, announces the release of the BOXER-8230AI AI Edge box PC powered by the NVIDIA® Jetson™ TX2 NX System on Module (SOM). The BOXER-8230AI delivers powerful computing performance without breaking budgets, along with rugged design and diverse...

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...