Smarter at the Edge: AI-Accelerated MCUs for Industrial IoT
Discover how edge AI and embedded accelerators enable real-time analytics, predictive maintenance, and anomaly detection for industrial IoT applications.
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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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Analog Devices Inc. ADSP-BF70x Blackfin® Core Embedded Processors
Learn MoreAI-Powered Engineering
Learn MoreEdge AI motion sensing enables wearables and industrial devices to process motion data locally for real-time, low-power, and privacy-focused applications.
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USB 3.2 Gen 2x1 delivers 10Gbps over a single lane, simplifying PCB design for embedded, FPGA, and IoT systems. Explore its benefits and dev tools.
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Zero trust is expanding from IT to embedded systems. Engineers should assume every device is exposed online and protect it with built-in authentication, encryption, and secure updates.
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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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Axiomtek CAPA13R Embedded Boards
Learn MoreDiscover how real-time operating systems like ZephyrOS help embedded developers build smarter, faster, and safer systems.
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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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Xilinx Kintex®-7 FPGA Embedded Kit
Learn MoreShifting from servers to microcontrollers, edge computing empowers engineers to build smarter, faster systems right where the data is generated.
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Using the PIC16F13145 MCU’s configurable logic block, engineers can efficiently decode quadrature encoder signals, reducing power, BOM cost, and CPU workload.
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Embedded Artists iMX7 Dual Developer's Kits
Learn MoreMulticore Arm microcontrollers offer exceptional performance but can add software development complexity. Explore optimization techniques for a variety of applications.
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Rust is an emerging language for embedded systems that addresses the limitations of C, such as memory management and safer concurrency.
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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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Basler Embedded Vision Kit with NVIDIA Jetson Nano
Learn MoreThis article explores a decentralized security framework for embedded devices, focusing on confidentiality, integrity, and availability.
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From wearable technology to automotive systems, microcontrollers provide versatility, efficiency, security, and compactness to a range of technologies.
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Industry experts discuss embedded security, focusing on edge data protection, including secure management, trusted operations, and IT/OT convergence.
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This eBook dives into the use cases for 8-bit MCUs in modern systems. Hear from ten experts on 8-bit MCUs, how they get used in today’s world, and what makes them so useful.
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(Source: Nikolay N. Antonov - stock.adobe.com) While embedded systems tend to lack the processing horsepower of servers or even modern personal computers, the sheer number of devices is making...
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How to Select the Best MCU for Long-Life and Energy-Efficient Processing (Source: Dmitriy Rybin/Shutterstock.com) The global microcontroller unit (MCU) market is experiencing substantial...
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We will demonstrate how to import an existing Atmel Studio 7 solution into Microchip’s MPLAB X IDE. This will include the necessary tools, and packs required to successfully build projects
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Artificial Intelligence that runs on embedded hardware can help augment human activity to improve efficiency and safety in industrial applications.
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