What Does It Take to Build Seamless Ambient Systems?
Explore the technical and human factors preventing the seamless smart environments of ambient computing and how engineers can overcome them.
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Edge Computing
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Pest Detection Using Machine Learning on Edge Devices
Discover how cellular IoT and edge computing enable real-time pest detection in agriculture using Nicla Vision, Adrastea-I, and Edge Impulse for smarter, low-power precision farming.
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Renesas / IDT Wireline Infrastructure Computing
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APP&TECH | Intelligent Edge: From Data to Decisions
From renewable energy to healthcare, Intelligent Edge brings computing closer to where data is created—enabling real-time analysis, smarter devices, and faster decisions. Discover how Mouser helps eng
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Data at the Edge: Why Computing Is Coming Home from the Cloud
Shifting from servers to microcontrollers, edge computing empowers engineers to build smarter, faster systems right where the data is generated.
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AI + Edge = Quicker Real-Time Decision-Making
Adding edge computing to AI applications creates faster and more secure real-time decisions in intelligent, autonomous machines.
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Single Board Computers Bring AI to the Edge
AI is poised to transform industrial automation by making AI at the edge more efficient, secure, and affordable using single board computers.
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Smart Edge ML with NXP FRDM-MCXN947
Discover how edge-based machine learning revolutionizes real-time data processing and analysis, enhancing applications from smart cities to healthcare.
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Embracing the Edge: Computing Where It Counts
Discover the transformative power of edge computing where embedded devices and SoCs are redefining data processing and real-time analytics.
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Advantech VEGA-320 m.2 Edge AI Module
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Prioritize Embedded System Security for Edge Applications
Learn about a decentralized security approach based on zero-trust principles, security by design, and threat intelligence and monitoring.
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How RISC-V Is Driving Edge ML
To reduce cost and power consumption, the ML industry looks to RISC-V edge computing, which provides three times the power efficiency of alternatives.
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Jump into Machine Learning with NXP
Edge-based machine learning (edge ML) stands out as a transformative technology, redefining how we process and analyze data in real time.
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Edge Computing: The Future of Distributed Data Processing
In an era where real-time data processing and interconnectivity are paramount, edge computing has emerged as a transformative force.
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Edge Computing Hardware Evolves to Meet IoT Demands
Diverse workloads require a smart edge to manage and secure a wide variety of IoT devices (Source: photon_photo- stock.adobe.com) The edge is getting smarter. After years of consolidating data...
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Edge Computing Can Take the Edge Off Some Computing Issues
In this week's New Tech Tuesday, let's look at artificial intelligence-powered edge computing devices and sensors from Kneron, Advantech, and Axiomtek.
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AI on the Edge with STM32
STM's IoT02A Discovery Kit and their NanoEdge AI Studio gives developers the tools to prototype Machine Learning (ML)-powered concepts quickly and efficiently.
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Terasic FPGA Cloud Connectivity Kit: Part Two
Developing edge-based conditioning monitoring equipment which connects with Microsoft Azure Cloud to enable cloud-based analysis of multiple deployed edge application units.
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Terasic FPGA Cloud Connectivity Kit: Part One
Learn how to develop edge-based condition monitoring devices which connect with Microsoft Azure Cloud to enable cloud-based analysis of multiple deployed edge application units.
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Cube Camera for Artificial Intelligence (AI) Edge Applications
AI at the Edge: Hype or Ready for Prime Time? And How Can a Little Camera Help? I have been busy researching lifestyle action cameras to capture all my outdoor adventures. Naturally, I looked to...
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Distributed Analytics Beyond the Cloud
Analytics is usually hosted in the cloud, but there is a trend to distribute learning and inference functions between the cloud, edge, and endpoints.
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How Gateways Can Secure IoT Architectures
Here’s how Internet of Things gateways can act as major security agents, from the edge to the cloud.
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