UNO Q Marks Exciting New Chapter for Arduino
Discover 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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Browse our library of technical articles, open source projects, and how-to resources.
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A Quantum Leap in Computer Processing
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Ensuring Healthy Indoor Environments with Multimodal Air Sensing
Indoor air quality sensing combines monitoring of particulate matter, temperature, and humidity to help smart buildings improve ventilation and occupant comfort.
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Current Sensing in AMR and Cobot Motion Control
Magnetic position and Hall-effect current sensors improve motion control, efficiency, and safety in AMRs and cobots operating in compact, EMI-prone environments.
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FPGAs for Sensor Processing and Motor Control in Humanoid Robots
FPGAs enable sensor fusion and parallel motor control in humanoid robots, supporting real-time processing, AI workflows, and BLDC motor control.
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Bringing Edge AI Control to Robotics
The Arduino VENTUNO Q edge AI SBC combines accelerated AI processing with a dedicated real-time microcontroller for robotics, vision systems, and automation.
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Thermal Management for Sealed Fanless Edge Computing Systems
As edge AI power densities increase, TIMs and thermal design techniques help sealed systems manage heat, prevent throttling, and improve reliability.
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Why High-Current DC-DC Converters Still Run Hot and How Flat-Wire Inductors Help
Learn about the complexities behind high-current DC-DC converters’ heat generation and how flat-wire inductors reduce DCR, lower losses, improve efficiency, and support higher current density.
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RF Signal Chain Components and Interconnect Fundamentals
RF communication fundamentals, signal chain components, and interconnects shaping performance, noise, and signal integrity in wireless systems.
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Low-Power FPGAs Enable Embedded Vision at the Edge
Explore how low-power FPGAs enable sensor aggregation, interface bridging, and efficient edge preprocessing in compact, power-constrained systems.
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Rethinking Voice AI: From Text to Native Voice AI Models
Explore native voice AI architectures, neural audio codecs, and low-latency speech models enabling real-time conversational AI without text pipelines.
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Smart Sensors: Functionality and Integration in Electronics
Smart sensor overview covering sensor functionality, integration, and data processing concepts for electronic system design.
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Building Modular Data Centers for AI Workloads
Modular data center architectures for AI rely on internal interconnects like FFC/FPC jumpers to enable scalable, high-density server designs.
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How Wi-Fi® HaLow™ Overcomes Industrial IoT Challenges
Wi-Fi HaLow enables long-range, low-power IEEE 802.11ah networking for industrial IoT devices, extending coverage with native IP connectivity and Wi-Fi security.
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Interconnect Design for Defense UAVs and SWaP Optimization
Interconnect design in defense UAVs reduces SWaP while supporting reliable power, data, and communications for increasingly capable mission systems.
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Modernizing Energy Supply from the Ground Up
Smart grid evolution using IoT, data analytics, and V2G enables decentralized energy systems and real-time grid management for modern electrification.
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Advancing Clean Tech Innovations
Clean tech innovations in energy storage, smart grids, IoT sensors, and wide bandgap semiconductors are driving sustainability and energy efficiency across infrastructure and industry.
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Edge AI Is Reshaping HMIs in Industrial Systems
Edge AI enables local data processing for IIoT devices, improving latency, security, and efficiency in industrial automation and predictive maintenance.
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How Formula E Rewrote the EV Playbook
Formula E evolution from car swaps to high-efficiency EVs, covering SiC power electronics, inverters, regenerative braking, and electric powertrain performance.
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Reliable RF Interconnects for Phased Arrays Radar Systems
RF interconnects enable precise phase control and signal integrity in phased-array radar and beamforming systems for high-frequency applications.
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A Faster Path to Automotive Embedded Bring-Up
Evaluation platforms accelerate automotive embedded development with early software bring-up, interface validation, and bench testing across CAN XL, Ethernet, LIN, and FlexRay networks.
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