Tag: ML

With the mission to build intelligent devices with fast neural network inferencing, Coral is about to release the new Coral Dev Board Micro. This embedded board enables more complex Machine Learning (ML) inferencing while still preserving its power efficiency. The Coral Dev Board is a...

Last week, Codasip, known for edge tools and IPs, has announced RISC-V-based embedded cores for AI/ML edge customizations – L31 and L11 RISC-V processor cores. In addition to the existing low-power embedded cores, the L31 and L11 are aimed towards easing the customization process...

After the former release of NXP i.MX 8M based MYC-JX8MX and i.MX 8M Mini based MYC-C8MMX System-on-Modules, MYIR has launched another advanced SoM MYC-JX8MPQ based on quad Arm Cortex-A53/M7 i.MX 8M Plus processor which is NXP’s first i.MX processor with a built-in 2.3 TOPS Neural...

GoWired Multi-Protocol GateWay is an amplified version of GetWired Ethernet Gateway. It is furnished with enhanced power features and versatility geared towards providing improved solutions for wired automation applications. The board is designed to allow automation engineers and...

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...

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...

Ekin X has announced its portable smart traffic system AI camera for data collection to enhance traffic and parking management for an efficient smart city. The AI camera uses Ekin X Spotter for a smart AI-based traffic enforcement system for performing ALPR (Automatic License Plate...

Edge computing has many great advantages. When you take some resource-heavy work from servers and let your less capable but still slightly powerful microcontrollers, you end up freeing server resources. Also, depending on what you are doing, you can get away with not using a server at...