Nicla Sense ME: Arduino’s Upcoming Smallest Form Factor AI Development Board
AIArduino

Nicla Sense ME: Arduino’s Upcoming Smallest Form Factor AI Development Board

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...

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Explore AI capabilities on Raspberry Pi Zero W with Google’s Coral USB Accelerator
AIRaspberry Pi

Explore AI capabilities on Raspberry Pi Zero W with Google’s Coral USB Accelerator

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...

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Meet AIfES, a C-based AI/ML Framework for Microcontrollers
AIArduino

Meet AIfES, a C-based AI/ML Framework for Microcontrollers

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...

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ADLINK’s CM5-P1000 Features NVIDIA Quadro P1000 GPU
AI

ADLINK’s CM5-P1000 Features NVIDIA Quadro P1000 GPU

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...

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TIDEP-01004 – Machine learning inference for embedded applications reference design
AI

TIDEP-01004 – Machine learning inference for embedded applications reference design

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...

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Seeed Studio reServer: A Mini Edge Server for High Performance Computing Applications
AI

Seeed Studio reServer: A Mini Edge Server for High Performance Computing Applications

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...

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Cererbras’ All NEW Wafer Scale Engine Packs 2.6 Trillion Transistors For Deep Learning Workloads
AI

Cererbras’ All NEW Wafer Scale Engine Packs 2.6 Trillion Transistors For Deep Learning Workloads

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...

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Meet Jetson Xavier NX based BOX PC – DSBOX-NX2
AI

Meet Jetson Xavier NX based BOX PC – DSBOX-NX2

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...

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