Category: AI

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...

We have seen several edge servers by Compulab and AAEON that were specially designed for high-performance industrial computing applications. Seeed Studio has introduced reServer - a compact edge server powered by an 11th Gen Intel Core i3 1115G4 processor and Intel UHD Graphics 48EUs...

In 2019, we saw one of the largest single computer chips manufactured by a California-based AI startup, Cerebras, that unveiled the Wafer-Scale Engine for deep learning applications. The 1.2 trillion transistors-packed Wafer-Scale Engine came with 18GB of on-chip SRAM and an...

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...

Lanner’s Edge Computing Appliances, Combined with the Hailo-8™ AI Acceleration Module, Offers the Highest Performance, Lowest Power, and Most Cost-Effective Edge AI Hardware Solutions for Smart Cities, Smart Retail and Industry 4.0 Leading AI (Artificial Intelligence)...

You might have seen many ML-based projects for weather predictions. Where training of an ML model is followed by testing of the model for good accuracies. This tutorial will learn to deploy a similar type of ML model using an on-board TensorFlow Lite on the Wio Terminal. You will see...