Category: AI

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...

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...

We saw ADLINK releasing the industry’s first embedded MXM graphic modules based on NVIDIA’s Turing architecture, to accelerate edge AI inference in SWaP-constrained applications. Now, ADLINK Technology has come up with CM5-P1000, the world’s first COTS PC/104 module to feature...

This reference design demonstrates how to use TI Deep Learning (TIDL)/Machine Learning on a Sitara AM57x System-on-Chip (SoC) to bring deep learning inference to an embedded application. This design shows how to run deep learning inference on either C66x DSP cores (available in all...