Technical Features

    Current
    Molded Power Inductors

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    Figure 1: Typical components on SMCs

    In DC/DC converters with higher switching frequencies, compact molded inductors enable smaller designs but often must cope with higher voltages and are exposed to higher temperatures. Both effects can lead to an increase in magnetic core loss over time due to material degradation related to the percolation phenome
    Date:
    05/29/2026
    Innovation through Lean AI

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    Figure 1: “Business model development process, experimentation, and Lean Start-up in practice” (Source: Bokur and Snihur, 2020)

    ­National security increasingly relies on swift innovation and rapid inventory upgrades to maintain agility on a global scale. Program modernization and capability improvements are top priorities to meet urgent national security demands, with speed, innovation, and reliability driving success. Asprivate companies su
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    Date:
    06/01/2026
    LPDDR6 Bandwidth Math: What You Gain, What You Pay, What You Measure

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    Figure 1: LPDDR6 expands beyond mobile. Conventional LPDDR apps (phone, client, IoT, automotive, XR) extending into AI data center, Smart NIC, robotics, and high-performance laptops

    ­There is an old engineering adage that a system is only as fast as its slowest component, and AI systems are no different. As models scale, one of the first bottlenecks to surface is memory. Because of the importance of memory, Joint Electron Device Engineering Council (JEDEC) LPDDR6 is positioned as a next
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    Date:
    06/01/2026
    Ensuring SoC Power Integrity with Silicon Capacitors

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    Figure 1: MLCCs and parasitic impedances cause PDN impedance responses to deviate from their target.

    ­In the relentless pursuit of high-performance computing, power delivery has quickly become the industry’s greatest roadblock. As artificial intelligence (AI) and high-performance computing (HPC) drive an exponential increase in current densities and transient requirements, traditional power delivery networks (P
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    Date:
    06/01/2026
    Floating Ground Hot-Swap Architecture for Data Centres

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    Figure 1: Data Center Power Distribution Architecture Evolution

    ­The exponential growth of AI, high-performance computing (HPC), and cloud services is driving an unprecedented surge in data center power demands. Traditional 50V DC power distribution architectures, once sufficient for kilowatt-scale IT racks, are rapidly approaching physical and economic limits as AI workloads pu
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    Date:
    06/01/2026
    How to Deliver for Low-Power LiDAR and Rangefinders

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    Figure 1: A resonant circuit for short-pulse laser firing

    ­Time-of-flight (ToF) laser sensors provide accurate range and depth measurements that are invaluable for a host of applications: from LiDAR systems in cars and delivery drones to rangefinders for construction, surveying, sports computers and hunting sights. These technologies enable not only distance measureme
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    Date:
    06/01/2026
    Creating the Next Generation of Braking Systems with Magnetic Sensors

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    Figure 1: Brake pedal assembly with sensor and actuator module. The sensor detects drivers’ intent

    ­To ensure safety at every stop, today’s braking systems require a sophisticated process that converts motion into control — a process that must function seamlessly in every situation from parallel parking to stopping an SUV on the highway. To do so, braking architectures need accurate, real-time information ab
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    Date:
    06/01/2026
    Powering Dexterity in Humanoid Robots

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    Figure 1: Non-isolated bus distribution – 48V bus is unregulated and not isolated

    ­As humanoid and physical‑AI robots become more capable and dexterous, efficient and reliable power delivery has emerged as a critical design challenge. This article explores modern robotic power distribution architectures and examines how advanced charge pump–based converters enable compact, high‑efficiency po
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    Date:
    06/01/2026
    Predictive Power: Innovations for Grid Stability

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    ­The global energy transition is accelerating, driven by decarbonization targets, electrification of transport and industry, and the rapid deployment of renewable energy. At the same time, AI data centers are emerging as massive energy consumers, with projected power requirements reaching hundreds of megawatts pe
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    Date:
    06/01/2026
    Combining Intelligence and Performance for Motor Control

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    Figure 1a: CoolGaN transistors in various package variants. (Source: Infineon)

    ­The requirements placed on modern motor controls are continuously rising: They must deliver higher efficiency, enable more compact designs and provide increasingly precise control. Whether the application is robotics, drones, industrial plants or micromobility, solutions are required that deliver higher performance fr
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    Date:
    06/01/2026
    Archive

    Molded Power Inductors

    May 29,2026
    Efrain Bernal-Alzate, Design Engineer, Würth Elektronik eiSos

    Powering AI Infrastructure

    Apr 29,2026
    Brent McDonald, system and applications engineer, Texas Instruments

    Transformer Design Comparisons for Mitigating EMI in Gate Driver Circuits

    Mar 29,2026
    Matthew Russell, Master’s student at University College Cork, and a student engineer at Bourns Electronics Ireland

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