PodcastsOnderwijsNXP EdgeVerse Techcast

NXP EdgeVerse Techcast

Bridgette & Kyle
NXP EdgeVerse Techcast
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63 afleveringen

  • NXP EdgeVerse Techcast

    Engineering Excellence: Inside the MCUXpresso SDK

    07-04-2026 | 20 Min.
    MCUXpresso SDK Updates & Roadmap | EdgeVerse Techcast
    In this EdgeVerse Techcast episode recorded during an MCUXpresso SDK leadership workshop in San Jose, Kyle and Bridgette speak with Petr Lukas (Middleware/NPI) and Jerry Zeng (Drivers/NPI) about recent SDK progress and what's next. They explain NPI as day-one software enablement—from register layers and debug files to board/peripheral readiness and optimization—and how drivers and middleware work together for customer applications.
    Key SDK improvements over past 12 months:
    Added "Repo Zip" packaging for smaller downloads while retaining Git/west workflows
    Optimized release cadence delivers 4 major releases and 8 previews per year
    Delivered 40+ new drivers and 16 new boards,
    Improved Freestanding project workflow
    Revamped Sphinx-based documentation
    Large-scale CI provides daily and weekly test coverage
    SDK Looking ahead:
    Expanded static analysis
    Continued Zephyr-aligned strategy
    Edgefast Open BT/BLE leveraging Zephyr
    Introduce MCUXpresso SDK LTS
    New multimedia framework.
    The episode also covered highlights in the recent SDK 26.03 release.
    Episode Resources:
    MCUXpresso SDK Tools for MCU Solutions
    MCUXpresso SDK Documentation
    Release MCUXpresso SDK 26.03.00 release (GitHub)
     
    00:00 Bay Area Workshop Kickoff
    00:59 Meet Petr and Jerry
    02:07 SDK Leadership Roles
    04:22 What NPI Means
    06:19 Biggest SDK Improvements
    06:32 Repo Zip Packaging
    07:50 Release Model and Docs
    09:57 CI Coverage and Quality
    11:04 Next Year Roadmap
    11:59 Zephyr and Connectivity Plans
    13:34 LTS and Multimedia Framework
    15:33 SDK 26.03 Release Highlights
    16:56 Middleware and Security Updates
    17:58 NPI Preview and Ethernet
    18:33 Wrap Up and Subscribe
  • NXP EdgeVerse Techcast

    Innovating at the Edge: NXP Agentic AI for Microcontrollers

    31-03-2026 | 13 Min.
    Agentic AI at the Edge: Bringing Model Context Protocol (MCP) to Microcontrollers with Zephyr
    In this episode, NXP Systems Enablement Engineer David Piskula talks about Agentic AI at the edge and the Model Context Protocol (MCP), and how NXP is bringing MCP down to the microcontroller level using Zephyr. The discussion covers why edge computing matters (security, confidentiality, low latency), how MCP standardizes JSON message exchanges between clients and servers, and how self-describing "tools" enable plug-and-play device integration. Critical in scenarios like smart homes and factory automation. David shares the challenge of implementing MCP on resource-constrained MCUs. He highlights the benefits of Zephyr providing a hardware agnostic path for evaluation. The NXP solution is available now to evaluate with an LED-control demo using NXP's eIQ Agentic AI framework.
    Other episode resources:
    LED-Control Demo project (GitHub repo)
    Zephyr Upstream mcp_server contributed by NXP 
    www.nxp.com/zephyr 
    00:00 Welcome to EdgeVerse
    01:07 Meet David Piskula
    01:47 What Systems Enablement Does
    03:09 Why Edge AI Matters
    04:15 MCP Explained
    04:56 How MCP Works
    05:45 Smart Home Example
    06:45 Factory Automation Use Case
    07:26 MCP on Microcontrollers
    08:32 Biggest Engineering Challenges
    09:31 Plug and Play LED Demo
    11:11 How to Get Started
    12:22 Wrap Up and Next Steps
  • NXP EdgeVerse Techcast

    Exploring the UBX100: Long-Range Wireless Connectivity with NXP

    24-03-2026 | 18 Min.
    Go Long Range with Sub-GHz UBX100 Projects on NXP Application Code Hub
    In this NXP EdgeVerse TechCast episode, NXP Systems Engineer Tony Trujillo covers sub-GHz wireless connectivity and new Application Code Hub projects for evaluating and integrating the NXP UBX100 transceiver. Tony explains where sub-GHz appears in everyday life and why it's chosen for long range, better signal penetration, lower energy consumption, and reduced interference versus 2.4 GHz. The discussion highlights four radio-modem-path resources now available: the UBX100 SDK (including the Host Radio Modem Library), a Flash Loader Demo for programming an unprogrammed UBX100 using a FRDM MCX N947 board, an RF Toolbox for lab testing and certification, and a FreeMASTER Lite web-based Evaluation GUI for out-of-box configuration and testing (including TX/RX, range tests with packet error rates, and a simplified Wireless M-Bus sniffer). They also cover preset PHY configurations for Wireless M-Bus and Wi-SUN, field upgradability via boot/flash loader, and upcoming Sigfox modem support.
    Episode Resources:
    UBX100 Application Code Hub Examples
    UBX100 Product Details
    OM-UBX100 Breakout Board: Expansion Board Hub
    Wireless M-Bus Stack Partner: STACKFORCE
    SigFox Build website
    00:00 Welcome and episode focus
    01:14 Meet Tony Trujillo
    02:45 Sub GHz explained
    04:40 Why sub GHz matters
    05:36 UBX100 and use cases
    05:55 Code Hub project overview
    07:02 SDK and flash loader
    08:32 RF toolbox and FreeMASTER GUI
    09:29 FreeMASTER Light walkthrough
    12:23 What makes UBX100 special
    13:55 Custom stacks and Sigfox path
    15:53 More resources to get started
    17:20 Wrap up and next steps
  • NXP EdgeVerse Techcast

    Bringing Physical AI to Life with NXP & NVIDIA

    17-03-2026 | 12 Min.
    Physical AI & Humanoid Robotics: NXP + NVIDIA Holoscan Sensor Bridge Reference Designs
    In this EdgeVerse TechCast episode, hosts Kyle Dando and Bridgette Stone speak with NXP's Altaf Hussain about Physical AI and a new NXP–NVIDIA collaboration delivering integrated, real-time robot body solutions built around NVIDIA's Holoscan Sensor Bridge (HSB). They explain how Physical AI differs from cloud AI by requiring deterministic sensing, decision, and actuation under strict latency and safety constraints, and how NXP's real-time control and networking complements NVIDIA's AI compute. The collaboration launches with two HSB-ready reference designs targeting the hardest robotics problems: perception and motion—an i.MX 95 machine vision design with 10Gb low-latency data paths to the NVIDIA pipeline, and an i.MX RT 1180 distributed motor control design supporting EtherCAT and TSN for synchronized control. Reference software will be published on GitHub.
    Episode Resources:
    https://www.nxp.com/hsb-solutions
    https://www.nvidia.com/en-us/technologies/holoscan-sensor-bridge/
    https://docs.nvidia.com/holoscan/sensor-bridge/latest/introduction.html
    00:00 Welcome and Topic Setup
    00:39 Why Physical AI Is Hard
    01:03 NXP and NVIDIA Collaboration
    01:59 Defining Physical AI
    03:20 Holoscan Sensor Bridge at the Edge 
    05:27 Two Reference Designs
    07:00 Machine Vision i.MX 95 
    07:43 Motor Control i.MX RT1180
    09:19 Software Enablement and Roadmap
    10:53 GitHub Access and Wrap Up
    11:48 Final Thanks and Next Steps
  • NXP EdgeVerse Techcast

    Danke Schön, Developers! See You at Embedded World

    10-03-2026 | 14 Min.
    EdgeVerse TechCast — Embedded World 2026 Preview! | NXP Demos, FRDM Lab, Zephyr Anniversary & More
    Welcome back to the EdgeVerse TechCast! In this episode, Bridgette and Kyle take you on a fun, fast‑paced tour of everything NXP is bringing to Embedded World 2026 in Nuremberg — one of the biggest global gatherings for embedded engineers.
    Whether you're attending the show or tuning in from your lab bench, this episode walks you through the innovations, demos, giveaways, and technical sessions shaping the future of embedded design.
    What You'll Learn in This Episode
    Explore the FRDM Lab. Get hands-on with AI/ML, security, connectivity, motor control, graphics, sensors, and low-power demos — plus small-group technical sessions led by NXP engineers. And yes… free FRDM boards are involved.
    Introducing FRDM Automotive. The FRDM ecosystem expands into automotive! Discover the new automotive-focused development boards debuting at Embedded World. 
    Zephyr Project's 10-Year Anniversary. NXP is celebrating by giving away 10,000 boards throughout 2026 to accelerate open-source development. Learn how to get yours at the show.
    Industrial & Robotics Demos. See how edge AI, real-time control, TSN, and robotics toolkits are enabling smarter factories.
    Healthcare & 🏡 Smart Home Innovations. AI-driven infant monitoring, Matter-enabled devices, UWB-based access systems, and more cutting-edge demonstrations.
    Live Technical Sessions at Embedded World. Hear from the engineers building the future — from CRA strategies to UWB plug‑and‑play to AI-powered vehicle architectures.
    Attending Embedded World? Visit NXP Booth 4A‑222 and dive into live demos, hands-on labs, and technical Q&A sessions with NXP engineers. 
    Episode Resources:
    NXP at EW Booth 4A-222
    FRDM lab at EW Booth 3A-128
    Zephyr at EW Booth 4-170
    Webinar | Build with FRDM: Your Getting Started Guide and Embedded World 2026 FRDM Lab Highlights
    00:00 – Intro: Danke Schoen & Embedded World vibes
    01:12 – What's happening at Embedded World 2026
    03:00 – Inside the FRDM Lab: Hands-on demos & sessions
    05:42 – Free FRDM board giveaways
    07:15 – Launching FRDM Automotive
    09:30 – Zephyr Project 10-year celebration & 10k board giveaway
    12:05 – Automotive demos: S32N, EV orchestration & Cabin IQ
    15:48 – Industrial demos: Robotics, edge AI & software-defined factories
    18:30 – Healthcare & smart home technologies
    21:05 – Technical sessions & expert talks
    23:10 – Can't attend? Upcoming FRDM Lab webinar
    24:40 – Wrap-up & closing thoughts

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Over NXP EdgeVerse Techcast

The EdgeVerse Techcast goal is to increase awareness of resources available for customers developing with NXP Application Processors and Microcontrollers.
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