Smart glasses are becoming viable for industrial, healthcare, and assistive applications as low-power processors, sensors, and audio-first designs enable reliable, all-day wearable performance.
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Unlock powerful edge computing with Arduino UNO Q, a hybrid Linux-MCU platform for advanced IoT, AI, and robotics designs.
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Renesas / IDT Wireline Infrastructure Computing
Learn MoreProtecting cloud and edge networks requires advanced hardware security solutions, such as HSMs and TPMs, to combat evolving cyber threats.
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High-performance SBCs and computer modules such as the Raspberry Pi CM5 accelerate embedded development with comprehensive features that enable rapid prototyping and faster time-to-market.
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Discover how edge AI and embedded accelerators enable real-time analytics, predictive maintenance, and anomaly detection for industrial IoT applications.
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Blockchain isn’t just for crypto—it builds trust, security, and autonomy into embedded systems, enabling tamper-proof data and decentralized device coordination.
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Voice assistants are moving to the edge with embedded AI, enabling faster, private, and offline voice control for smart devices and automotive systems.
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Transform workplace safety with SafeGear Check, an AI-powered PPE detector using Nicla Vision and Edge ML for real-time safety compliance.
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Advantech VEGA-320 m.2 Edge AI Module
Learn MoreDiscover the Arduino UNO Q, a dual-processor board for Linux AI computing and real-time control. Powered by a Qualcomm MPU and STM32U585 MCU, it redefines embedded development.
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Explore the technical and human factors preventing the seamless smart environments of ambient computing and how engineers can overcome them.
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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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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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Shifting from servers to microcontrollers, edge computing empowers engineers to build smarter, faster systems right where the data is generated.
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Adding edge computing to AI applications creates faster and more secure real-time decisions in intelligent, autonomous machines.
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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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Discover how edge-based machine learning revolutionizes real-time data processing and analysis, enhancing applications from smart cities to healthcare.
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Discover the transformative power of edge computing where embedded devices and SoCs are redefining data processing and real-time analytics.
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Learn about a decentralized security approach based on zero-trust principles, security by design, and threat intelligence and monitoring.
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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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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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