In this special guest feature, Matthew C. King, IIoT Solutions Expert, FogHorn Systems, discusses how edge machine learning combines two hot industry trends – moving industrial internet of things ...

Why it’s important not to over-engineer. Equipped with suitable hardware, IDEs, development tools and kits, frameworks, datasets, and open-source models, engineers can develop ML/AI-enabled, ...

Vikram Gupta is Chief Product Officer, SVP & GM of the IoT Processor Business Division at Synaptics, a leading EdgeAI semiconductor company. In my previous articles, I explored how the rapid growth of ...

Microcontrollers (MCUs) have widely been considered the workhorses of embedded design – responsible for reading inputs, controlling outputs ...

ROCKVILLE, Md.--(BUSINESS WIRE)-- Ceva, Inc. (NASDAQ: CEVA), the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing ...

Noting a growing demand for artificial intelligence (AI) that can run on edge devices with microcontrollers (MCUs) and microprocessors (MPUs), NXP Semiconductors has unveiled tools to enable ...

AI is no longer confined to the cloud or data centers. Increasingly, it’s running directly where data is created — in devices, sensors, and networks at the edge. This shift toward on-device ...

TAIPEI, Taiwan--(BUSINESS WIRE)--Rugged edge computing brand – Cincoze, has launched its new high-performance, scalable DIN-Rail computer series (MD-3000), the flagship model of the Machine Computing ...

How deep learning enhances rule-based machine vision in quality and process control inspection applications. How edge learning compares to deep learning in machine-vision applications. Which ...