NXP EdgeVerse Techcast

Physical AI and the Industrial Edge: Insights from NXP Tech Days

NXP Tech Days Silicon Valley Recap: Physical AI, the Neural Axis, and the New MCX A5 Kyle Dando and Bridgette Stone recap NXP Tech Days in Silicon Valley, where more than 600 attendees explored over 50 NXP and partner demos and a full day of technical sessions across AI, industrial networking, automotive, embedded software, security, and robotics. Bridgette highlights Charles Dachs' keynote on "Physical AI" and the Neural Axis Architecture, distributing intelligence across reasoning, coordination, and reflexive layers to meet edge requirements for power, latency, and trust. The episode also covers the launch of the MCX A5 family, including a demo of four MCX A577 boards using integrated 10BASE-T1S over a single twisted pair with PLCA for deterministic access, plus topology discovery for industrial networks. They emphasize the value of hands-on demos and direct interaction with NXP engineers and share links to NXP Tech Days and MCX A5 resources. Episode Resources: NXP Technology Days Neural Axis Architecture Humanoid Robotics and Physical AI NXP MCX-A5 Page 00:00 Welcome and FOMO Setup 01:27 First Impressions at Tech Days 02:57 Keynote on Physical AI 04:27 Industry Direction and Strategy 05:22 MCX A5 Big Announcement 06:20 One Wire Ethernet Demo 08:14 Physical AI Theme Across Labs 09:36 Murphy's Law in Edge AI 10:56 Personal Takeaway and Community 11:55 Next Steps and Closing

• Transcript

The Smart Grid Revolution: NXP's Vision for an Intelligent Energy Future

The Future Power Grid: From Centralized Control to AI-Powered Microgrids (with Marcelo Marques) Kyle Dando and Bridgette welcome repeat guest Marcelo Marques from NXP's power and energy team to discuss why the power grid is often taken for granted and how it must evolve. Marcelo explains the grid's real-time balancing act—where generation must instantly match demand—using examples like England's halftime tea surge and the 2012 India blackout. As renewables, bidirectional EV charging, home batteries, solar, and massive data centers proliferate, the grid shifts from one-way centralized control to a distributed "matrix" of microgrids, increasing complexity and unpredictability. He outlines four key challenges: real-time edge intelligence and its cost, security, interoperability, and functional safety. Marcelo describes how NXP's portfolio addresses these needs and highlights a CES microgrid demo where coordinated AI agents optimize charging and energy use across buildings, vehicles, and devices. Episode Resources: From EV Charger to Grid Asset Power and Energy Management Charging Application Examples (App Code Hub) 00:00 Welcome Back Hosts 00:56 Why We Ignore Grid 03:17 Real Time Balancing 04:07 Tea Kettle Surge 06:58 When Predictions Fail 08:39 Renewables Add Complexity 10:07 Microgrids And AI 13:31 Four Engineering Challenges 15:34 Where NXP Fits 17:12 Microgrid Demo Story 19:17 Smart Kettle Future 19:41 Wrap Up And Subscribe

• Transcript

From Graveyard Reflections to NXP Revelations

Edge Verse Techcast: Perspective, MCUXpresso SDK LTS Update, Tool Time, and MCUXpresso for VS Code Benefits Kyle hosts the EdgeVerse Techcast solo while Bridgette is sick, sharing a personal lesson from college based on Og Mandino's The Greatest Salesman in the World (scroll five): when feeling overwhelmed, walk through a graveyard to gain perspective and gratitude. He then shifts to NXP updates, noting active work on MCUXpresso SDK long-term support patch updates, with the LTS release scheduled for October following the 26.09.00 release. Kyle also highlights "Tool Time," a monthly 15-minute LinkedIn series on the NXP Developer Zone page featuring 10-minute tool demos such as the SEC Tool and GUI Guider. Finally, he outlines five benefits of MCUXpresso for VS Code: one-click installer, strong GitHub/SDK integration, Application Code Hub access, VS Code's fast editing and IntelliSense/Copilot support, and right-click integration with security and configuration tools. Episode Resources: The Greatest Salesman in the World by Og Mandino NXP Developer Zone LinkedIn Live Events MCUXpresso for Visual Studio Code 00:00 Welcome Back Solo 01:15 Bad Days Check In 01:59 Graveyard Perspective 04:24 Lessons From Coach 05:23 MCUXpresso SDK LTS 06:36 Tool Time Demos 07:58 MCUXpresso VS Code 08:27 Five Key Benefits 13:10 Wrap Up And Next

• Transcript

Unveiling Innovation: The NXP Remote I/O Platform and the Future of Industrial Automation

Remote I/O Is Becoming an Intelligent Edge Platform: Networking, Security, Diagnostics & NXP's RIOP Hosts Bridgette Stone and Kyle Dando discuss how remote I/O in industrial automation is evolving from a simple sensor/actuator interface into an intelligent edge platform as factories become more connected and intelligent. Guest David Piskula from NXP explains that modern remote I/O must support deterministic industrial Ethernet (EtherCAT, PROFINET, Ethernet/IP), high-accuracy measurements, diagnostics, cybersecurity, predictive maintenance data, and future software updates, while meeting shorter development cycles. He highlights integration as a key challenge and describes NXP's Remote I/O platform (RIOP), combining the i.MX RT1180 Crossover MCU, industrial networking via the NXP Port Industrial Networking Suite, precision analog front ends, and software/reference applications to reduce engineering effort. Listeners are directed to nxp.com/riop, the PLC IO kit quick start guide, and Application Code Hub examples, including an out-of-box evaluation and a multi-protocol repository. Episode Resources: Remote I/O Platform RIOP Examples in ACH NAFE13388: Highly configurable 8/4-channel 24/16 bits ±25 V universal input AFE 00:00 Remote I/O Reimagined 01:30 Why Remote I/O Is Evolving 02:48 Integration Challenges Today 03:56 Deterministic Industrial Networking 05:09 NXP's Remote I/O Platform 06:22 Getting Started Resources 06:49 Application Code Hub Demos 07:54 Wrap Up And Subscribe

• Transcript

Audit Alert: Andrei's Expert Take on NXP's Software Suite

Arrow Audits NXP MCUXpresso: eIQ Time Series Studio, GUI Guider & VS Code Transition Tips Bridgette Stone and Kyle Dando host an "audit" of NXP's MCUXpresso ecosystem with Arrow Electronics FAE Andrei Cosara, who shares feedback from working with developers across industries. Andrei highlights eIQ Time Series Studio as a game-changing way to build lightweight edge machine learning models from existing unidimensional sensor data, including new waveform snippet labeling for classification. He then shares praise for GUI Guider's easy drag-and-drop workflow and well-structured generated code. He notes challenges customers face transitioning from MCUXpresso IDE to MCUXpresso for VS Code, recommending built-in VS Code AI agents to diagnose errors and ramp faster. He also describes common AI/ML part-selection difficulties and emphasizes Arrow's value through workshops, free engineering services, and the Digital Test Drive remote board farm for evaluating and benchmarking models on real hardware. Episode Resources: Digital Test Drive – Remote Hardware Testing Arrow Events - Workshops eIQ® Time Series Studio Create Modern Embedded GUIs Fasts MCUXpresso for Visual Studio Code 00:00 Welcome to EdgeVerse 00:36 The Audit Setup 01:27 Meet Andrei from Arrow 03:44 Top Pick eIQ Time Series 06:41 Waveform Snippets Feature 07:35 Easy Wins with GUI Guider 09:38 Arrow Workshops Value 10:53 VS Code Transition Pains 12:29 Using AI Agents in VS Code 14:15 AI Part Selection Challenges 17:29 When to Engage Arrow 18:46 Digital Test Drive Demo 20:11 Final Thoughts and Wrap

• Transcript

Steering Success: Automotive Developers Take the Wheel in the Application Code Hub

Automotive Joins NXP Application Code Hub | EdgeVerse Techcast ft. Stefan Vlad In this episode of the EdgeVerse Techcast, Kyle and Bridgette welcome NXP application engineer Stefan Vlad to discuss how Automotive has officially joined NXP's Application Code Hub. He shares how the ACH makes it easier for engineers to discover projects and get started quickly. Stefan explains the excitement around the first demos at Embedded World, such as CAN communication on the FRDM S32K312, secure encrypted Ethernet, and 12-volt motor control through CAN. He shares new Automotive contributions including motor control applications across the S32K344, S32K312, and S32M276 updated to RTD 7.0. Plus they recently ported applications for USB power delivery, Secure Ethernet, and SmartCAN gateways. They also cover university-inspired applications (brake, comfort/lights, steering, transmission) using mikroE click boards. Episode Resources: S32K / S32M in the Application Code Hub FRDM Automotive: Accelerating Development on the S32 FRDM Automotive Development Platform 00:00 Welcome and Topic 00:25 Automotive Joins ACH 01:25 Meet Stefan Vlad 01:51 Why Now for Automotive 02:48 New Projects Added 05:12 Favorite Starter Demo 06:47 Advanced Concepts Next 07:51 What Makes ACH Different 08:53 Wrap Up and Thanks 09:59 Subscribe and Closing

• Transcript

Empowering Developers with Long-Term Support in MCUXpresso SDK

MCUXpresso SDK Long-Term Support (LTS) Explained: Stability, Backported Fixes & CRA Alignment On the Edge Verse Techcast, co-hosts Kyle Dando and Bridgette welcome NXP product manager Max Palumbo to announce long-term support (LTS) for embedded developers using the MCUXpresso SDK. They explain that LTS prioritizes stability over mainline's quarterly feature-driven cadence by backporting bug fixes and security patches without changing APIs, library versions, or architecture, reducing rebase effort during long test cycles. NXP's first LTS release is 26.06.00-LTS. LTS will be offered via the MCUXpresso SDK GitHub distribution, updated for high-priority security issues (within a quarter), severe S1/S2 bugs (quarterly), with two years of free support, and potential paid extensions later. They clarify LTS complements, but is not required for, CRA compliance Episode Resources: MCUXpresso SDK - Marketing Page SDK Documentation - LTS Overview MCUXpresso SDK project - GitHub - Manifest repo 00:00 Welcome and LTS Teaser 01:07 Meet Max Palumbo 02:02 What Long Term Support Means 03:51 Three Big LTS Benefits 07:06 How LTS Is Delivered 08:07 GitHub Tags and Versioning 09:34 Update Triggers and Cadence 11:38 Why a New LTS Each Year 12:42 LTS vs Device Support 15:02 LTS and CRA Compliance 17:52 How to Get Started Today 18:57 Wrap Up and Thanks

• Transcript

Winning with Efficient Performance: Why Architecture Matters More Than Clock Speed

Rethinking MCU Performance with the MCX N947 Hosts Kyle Dando and Bridgette Stone welcome Adrian Cano from Systems Engineering to challenge the assumption that a faster MCU always makes a better product. Adrian explains the MCX N947 as a balanced, high-efficiency MCU whose architecture—dual Cortex-M33 cores, DSP and acceleration resources, and integrated subsystems—delivers predictable, deterministic system performance by scheduling tasks efficiently, running workloads in parallel, and offloading repetitive processing from the CPU. He shares a customer evaluation where higher-clock, higher-memory competitors looked better on paper, but profiling real workloads showed the system wasn't CPU-speed bottlenecked; partitioning time-critical control and communications across cores reduced timing conflicts and software overhead. The discussion also highlights integrated IP like high-performance ADCs and USB, and recommends starting with MCX N947 Freedom boards, SDK examples, application notes, documentation, and debug/performance tools to model real workloads early. Episode Resources: www.nxp.com/MCXN https://www.nxp.com/products/MCX-N94-N54-N53-N52-N24 MCX N947 Projects on Application Code Hub 00:00 Welcome and Big Question 01:01 Meet Adrian and MCX N947 Overview 02:50 Customer Challenge Beyond Specs 04:47 Profiling Reveals Real Bottlenecks 05:35 Acceleration and Deterministic Performance 07:25 Dual Core Task Partitioning 08:46 Balanced Architecture and Integrated IP 10:43 Faster Development and Real World Trust 12:19 How to Evaluate and Get Started 14:41 Key Takeaways and Wrap Up

• Transcript

The Sound of Smart Glasses: Building Conversational AI at the Edge

Edge AI Voice Tech in Smart Glasses: Latency, Barge-In, Beamforming & NXP's Wearable Platform This episode of the EdgeVerse Techcast explores how voice technology is adopting edge AI in smart glasses and why glasses are emerging as a natural, always-available interface for conversational assistants without relying on screens. Guest Laurent Pilati of NXP (AI software lead in the ACE organization) explains that real business value comes from integrated AI solutions spanning vision, voice, GenAI, physical AI, and agentic AI. The discussion covers what makes voice interactions feel human—low latency, barge-in, and backchanneling—and the engineering challenges behind them, including audio capture quality, wireless connectivity, inference time, and power constraints. Laurent describes real-world noisy-environment solutions such as fixed and adaptive beamforming, echo cancellation, and speech enhancement, and outlines NXP's software building blocks (Conversa and EAP), i.MX RT700 hardware, and Audio Lab validation, plus advice to start from user experience and leverage proven frameworks. Episode Resources: Laurent Pilati keynote at AWE Essential Audio Processing Library Conversa Voice Suite i.MX-RT700 Product Details 00:00 Edge AI Intro 01:08 Meet Laurent Pilati 02:21 Why Smart Glasses 03:58 Natural Voice Interaction 05:55 Hearing in Noise 07:32 NXP Platform Stack 09:22 Developer Advice 11:15 Wrap Up and Resources

• Transcript

Unlocking Embedded Development: Insights from DigiKey's Experts and Tech Forum

How DigiKey & NXP FRDM Boards Accelerate Embedded Prototyping (with Matt Mielke) Co-hosts Kyle Dando and Bridgette Stone welcome Matt Mielke, an Applications Engineer at DigiKey to discuss how DigiKey supports embedded developers using NXP's FRDM evaluation board ecosystem from initial MCU evaluation through working prototypes. Matt explains DigiKey's role beyond distribution, including technical support escalation, published project content, and the DigiKey Tech Forum as a key resource for getting questions answered. He highlights why engineers choose DigiKey—large in-stock selection, fast shipping, and a website with detailed part resources—and describes common FRDM use cases across industries, with strong student adoption. The episode covers popular expansion options (Arduino, Click, Pmod), example demos using FRDM boards, typical firmware help requests, and new enablement topics like wireless sensing/localization, BLE channel sounding, UWB, and moving development to VS Code with Zephyr tools. Episode Resources: forum.digikey.com NXP.com/FRDM FRDM Training Hub 00:00 Welcome and Episode Focus 01:20 Meet DigiKey's Matt Mielke 02:15 Inside DigiKey and Apps Engineering 04:55 Why Engineers Choose DigiKey 06:04 Tech Forum Support Resource 07:47 Who Uses FRDM Boards 09:57 Expanding with Shields and Clicks 13:06 Common Firmware Help Requests 14:22 New Tech and VS Code Shift 15:56 Wrap Up and Next Steps

• Transcript

The Connectivity Challenge: Solving Drone Communication

Reliable Drone Communications: Beyond Wi‑Fi with NXP's LA9310 Software-Defined Modem | EdgeVerse Techcast EdgeVerse Techcast hosts Bridgette Stone and Kyle Dando discuss why professional drones need more reliable communication than typical Wi‑Fi or Bluetooth can provide, especially for fast-moving, long-range, interference-prone, and beyond-visual-line-of-sight operation. Wireless expert Wim Rouwet (NXP) explains how drone links differ between control and video, how use cases drive requirements, and why options range from Wi‑Fi for ground tasks to sub‑GHz control, UWB for precision landing, private 5G, and mesh networking for swarms. He covers safety considerations like FCC rules, fail-safes such as GPS "return to home," and gradual degradation of video quality. The episode highlights NXP's LA9310 software-defined modem, its DSP-based flexibility for custom waveforms and bands, available tools and open-source enablement, and how similar challenges extend to robotics. Episode Resources: LA9310 Programmable Baseband Processor | NXP Semiconductors Drone Block Diagram (Interactive) Lime Microsystems | Home 00:00 Welcome and Topic Tease 01:53 Meet Wireless Expert Wim 03:31 Why Drone Links Are Hard 07:16 Hobby vs Pro Drone Needs 08:51 Safety and Fail Safe Design 11:37 Why Not Just Wi Fi 13:32 LA9310 Software Defined Modem 15:44 Ecosystem Partners and Open Source 17:04 Flexibility Bands and Swarms 18:34 Communication Stack PHY to MAC 21:57 Tools Enablement and AI Help 24:38 Beyond Drones Robotics Too 26:42 Key Takeaways and Wrap Up

• Transcript

More Than a Plug: The Future of EV Charging

EV Charging Goes Beyond Power: Plug-and-Charge, V2G, Security & NXP EasyEVSE Platforms | EdgeVerse Techcast In this EdgeVerse Techcast episode, host Kyle Dando and co-host Bridgette Stone welcome Susanne "Susie" Zach, NXP's EV charging segment lead, to discuss how EV charging stations are becoming more intelligent, connected, and integrated with the energy ecosystem. Susie highlights key market trends including Plug-and-Charge authentication and growing interest in bi-directional charging and vehicle-to-grid capabilities, alongside rising requirements for cybersecurity, remote management, and interoperability. The conversation covers customer design challenges such as integrating power electronics, communications, cloud connectivity, metrology, compliance, and security while accelerating time to market. Susie explains NXP's system-level portfolio and EdgeLock security approach, and walks through three EasyEVSE development platforms—entry-level MCU, advanced MCU, and i.MX 93 Linux-based—plus where developers can get started. Episode Resources: www.nxp.com/evse Deep Dive Video on EasyEVSE Development Platforms App Code Hub: EVSE Example Projects 00:00 Welcome to EdgeVerse 00:31 EV Charging Curiosity 01:40 Market Trends Today 03:29 Design Challenges Ahead 05:15 NXP System Approach 07:06 EasyEVSE Platforms 09:56 Choosing the Right Fit 10:44 How to Get Started 12:21 Wrap Up and Links

• Transcript

How Much Security Does Your Device Need? Real Customer Lessons from the Field

Piggy Bank vs. Fort Knox: Scalable Embedded Security with NXP's Wendy Warne In this EdgeVerse Techcast episode, the hosts explore why security is now foundational to connected edge devices and product life cycles, and how developers should right-size protection instead of defaulting to the most advanced architecture. NXP Field Application Engineer Wendy Warne explains how customer conversations start by identifying where requirements come from, what the system is, what must be protected, and what the impact of compromise would be—illustrated with a child's piggy bank versus Fort Knox. She outlines NXP's scalable security tiers (Basic, Essential, Advanced, High), clarifies hardware root of trust using immutable boot ROM verification, and describes the EdgeLock Secure Enclave as an isolated security system managing functions like secure boot, lifecycle, debug control, keys, and crypto. Wendy also highlights onboarding resources including MCUXpresso SEC Tool and example code for features like secure firmware update, tamper detection, and debug authentication. Episode Resources: http://www.nxp.com/security http://www.nxp.com/cra http://www.nxp.com/edgelock 00:00 Security Is Foundational 01:38 Meet Wendy Warne NXP FAE 02:32 Defining Real Requirements 03:56 Piggy Bank vs Fort Knox 07:05 Scalable Security Tiers 10:21 Hardware Root of Trust 13:00 EdgeLock Secure Enclave 14:32 Tools and Onboarding 16:25 Examples and Resources 17:34 Key Takeaways and Wrap

• Transcript

AI Acceleration Week: Ari's Edge, A Fun Take on Ara DNPUs

AI Acceleration Week Finale: Gateworks + NXP Bring 40 TOPS Edge AI to Mission-Critical Systems (Featuring "Ari") In the 3rd and final episode of AI Acceleration Week on the EdgeVerse Techcast, co-hosts Kyle Dando and Bridgette Stone are joined by Hailey Terrones from Gateworks to discuss how industrial AI is moving beyond cloud demos into real-world, mission-critical edge systems. They explain the Gateworks–NXP partnership and how Gateworks turns NXP silicon like the i.MX 95 (with EdgeLock security) into deployment-ready, USA-made industrial SBCs that speed time to market and support long lifecycles and customization. The episode highlights AI acceleration at the edge using the NXP Ara240 discrete NPU (40 TOPS) as an M.2 module to offload inference, improve latency, power efficiency, privacy, and future-proof upgrades for robotics, automation, drones, smart energy, and critical infrastructure. A humorous segment features "Ari," an AI agent, answering audience-style questions in real time. Episode Resources: GW16168 USA-Made M.2 AI Accelerator | NXP Ara240 DNPU GW11062-1 NXP Ara240 DNPU + i.MX95 SBC Development Kit (Includes GW16168, iMX95 Catalina SBC, JTAG Programmer, power supply and accessory cables) Gateworks Ara240 DNPU AI Accelerator Software Wiki 00:00 Welcome to EdgeVerse 01:18 Meet GateWorks 02:00 Introducing Ari Agent 02:29 GateWorks NXP Partnership 03:48 Edge AI With Ara240 04:36 Q&A Game Setup 05:36 Why Choose i.MX 95 SBC 08:22 Why Add Ara240 DNPU 12:30 Real World Use Cases 13:29 How to Get Started 14:11 Wrap Up and Subscribe

AI Meets Functional Safety: Exploring Ara DNPU Potential

AI Acceleration Week (Ep. 2): Functional Safety + Edge AI with Ara 240 and F&S Elektroniksystem In the second episode of EdgeVerse Techcast's AI Acceleration Week, co-hosts Bridgette Stone and Kyle speak with Andreas "Andy" Kopitz of F&S Elektroniksystem about how developers can start building edge AI products using NXP's Ara 240 alongside the i.MX 95, especially for robotics and autonomous systems. Andy explains that customers increasingly want functional safety, Linux, ROS 2, multiple high-resolution camera streams, and real-time AI decision-making on compact platforms, creating a gap in AI performance that Ara 240 helps close. He describes how pairing i.MX 95 for system control, security, connectivity, HMI, and safety architecture with Ara 240 for AI acceleration enables demanding applications, and how F&S supports developers with complete platforms, an Ara 240 M.2 module, Linux/Yocto BSPs, and functional-safety approaches using hypervisor and safety supervisor layers with direct engineering support. Episode Resources: F&S M.2 Edge AI Ara 240 SMARC (Video) M2 Ara2 Edge AI Product Page www.nxp.com/Ara240 00:00 Welcome to AI Week 01:05 Meet Andy from F&S 01:59 Hobbies and Banter 03:21 Austin Meeting Insights 04:11 Customer Demands and Gaps 06:35 Ara 240 Closes the Gap 08:14 Why F&S Was Chosen 09:38 F&S i.MX95 plus Ara Platform 11:12 Software and Linux Safety 13:11 Robotics with ROS2 and Safety 14:45 Getting Started Resources 16:17 Wrap Up and Next Episode

• Transcript

Kickstart AI Acceleration Week: Unveiling DNPU's Role in AI Applications

AI Acceleration Week Kickoff: Edge AI Trends, Multimodal & Generative AI, and NXP DNPUs with Ravi Annavajjala Edge Verse Techcast kicks off AI Acceleration Week with the first of three episodes exploring technologies shaping the future of edge AI. Hosts Bridgette and Kyle welcome Ravi Annavajjala, former CEO of Kinara and now leader of NXP's NPU product line. Ravi explains key edge AI trends, including the shift from cloud-centric AI to distributed intelligence driven by latency, privacy, bandwidth, and real-time responsiveness. The episode also covers the evolution from vision-only AI to multimodal systems combining voice, video, sensors, and context. Ravi discusses why edge inferencing matters for robotics, industrial automation, and automotive, and introduces NXP's discrete neural processing units (DNPUs) as dedicated accelerators for advanced inference workloads like generative and multimodal AI. The episode also highlights NXP's eIQ software environment and ecosystem partners enabling developers to move from prototyping to production. Episode Resources: www.nxp.com/ara240 www.nxp.com/eiq www.nxp.com/ai 00:00 AI Acceleration Week Intro 01:35 Meet Ravi Annavajjala 02:50 Big Trends in Edge AI 04:18 Why Edge Beats Cloud 05:27 Kinara Joins NXP 06:50 What Is a DNPU 08:10 Top Edge AI Applications 08:40 Tools and Ecosystem Support 10:30 Bonus AI Tennis Referee 11:46 Key Takeaways and Next Episodes

• Transcript

Accelerate Your Development: The Role of Distribution FAEs

Why NXP Distribution FAEs Matter: Faster Designs, Better Support Kyle Dando and Bridgette Stone explain the role of NXP's distribution field application engineers (DFAEs) and why NXP invests in annual distributor FAE training, recently held in Austin. They describe how distributors like Avnet, Arrow, Digi-Key, Future, and Mouser provide sales, inventory and pricing management, customer credit, and critical technical support, with DFAEs often serving as the first technical contact and a bridge to NXP subject matter experts. The episode recaps the four-day Americas training attended by over 100 engineers, featuring lectures and breakout sessions across pillars such as motor control, AI/ML, Security, wireless, and automotive. Plus hands-on training with Visual Studio Code, Configuration Tools, SEC Provisioning, and Zephyr development. They emphasize the "train-the-trainer" model and share an example of an FAE quickly connecting a new PMIC to a customer's secure lock project. Episode Resources: Avnet Engineering Support Arrow Engineering Support Future Electronics Engineering Support Digi-Key Engineering Support Mouser Engineering Support 00:00 Welcome to EdgeVerse 00:31 What DFAEs Do 02:01 Distributor Roles Explained 03:44 Inside FAE Training 04:43 Why Use Distribution 07:20 Cool Tech Highlights 09:02 How Training Helps You 09:37 Real World Success Story 11:11 Workshops and Next Steps 11:29 Wrap Up and Call to Action

• Transcript

From Data to Deployment: Mastering Edge AI with eIQ

NXP eIQ Explained: From Edge AI Deployment to Agentic AI Autonomy Bridgette Stone and Kyle Dando host Ted Kao to break down NXP's eIQ (Edge Intelligence) AI/ML development environment for NXP MCUs and application processors, aimed at simplifying the path from models to efficient on-device deployment. Ted outlines key components like the eIQ AI Toolkit, support for inference runtimes including TensorFlow Lite, ONNX Runtime, Arm, and ExecuTorch, plus integrations with MCUXpresso and Yocto. He explains two entry paths—bring your own model (eIQ Toolkit/Neutron SDK/AI Hub) and bring your own data (Time Series Studio with AutoML for time-series use cases)—and mentions hardware testing via FRDM boards and a planned remote board farm. The episode highlights newer additions such as the eIQ Agentic AI Framework, eIQ AI Hub, and Gen AI Flow, and points listeners to nxp.com/ai and nxp.com/eIQ to get started. Episode Resources: www.nxp.com/ai www.nxp.com/eiq 00:00 Welcome to EdgeVerse 00:28 Why Edge AI Matters 01:45 Meet Ted Kao 02:31 What eIQ Is 04:24 Inside the eIQ Ecosystem 05:37 Two Paths to Start 07:01 Bring Your Own Data 08:24 Testing on Real Hardware 09:00 New Tools and Agentic AI 11:28 Getting Started Resources 12:33 Wrap Up and Subscribe

• Transcript

NXP's Block Diagram Designer: Kickstart Your Next Project Today

Kickstart Your Next Design Faster with NXP's Block Diagram Designer | EdgeVerse Techcast In this EdgeVerse Techcast episode, co-hosts Kyle Dando and Bridgette Stone welcome Rebecca Phillips from NXP's digital online experience team to introduce NXP's new Block Diagram Designer, a web-based tool that helps engineers move from concept to design faster by turning the "blank page" into a structured, component-based block diagram. Rebecca explains how engineers can start from reusable application templates or a blank canvas, get assistance choosing compatible components using built-in design rules, and export designs to industry-standard EDA tools like Eagle, Altium, and Autodesk to speed handoff into implementation. The tool is powered by technical documentation and design files organized as "CUBOS," covering NXP and required non-NXP parts, with datasheets and related resources linked in one place. Episode Resources: www.nxp.com/block-diagram-designer Create a new Diagram 00:00 Welcome to EdgeVerse 01:10 Meet Rebecca Phillips 01:54 FIRST Robotics Tangent 03:01 What Is Block Diagram Designer 04:35 NXP Customer Journey 06:20 Top Three Features 08:29 Inside the CUBOS Data 11:39 Future AI Assistant 12:34 How to Get Started 13:29 Wrap Up and Subscribe

From Protocols to Production: NXP and Port's Seamless Integration

Industrial Ethernet Protocols, Tools & Hardware for Faster Factory Automation In this EdgeVerse Techcast episode, NXP welcomes port to the company and explains how the acquisition brings 30+ years of industrial communications expertise to deliver certifiable hardware and software for factory automation. Denis Noël discusses port's real-time protocol stacks—including PROFINET, EtherCAT, EtherNet/IP, CANopen, and Modbus—and how tight integration with NXP industrial chips like the i.MX RT1180 MCU and i.MX94 MPU (with networking switch) accelerates development, improves interoperability, and supports ongoing protocol and security maintenance, including cybersecurity regulations such as the European Cyber Resilience Act. Episode Resources: www.nxp.com/port i.MX RT1180 EVK FRDM i.MX RT1186 Remote I/O platform 00:00 Welcome and Why It Matters 00:54 Meet Denis and Port 01:37 What Port Does 02:54 Protocols Supported 04:14 Hardware Software Advantage 05:39 Tools Services Security 06:43 Developer Kits and Getting Started 08:27 Future of Factory Automation 10:33 Recap and Next Steps 11:44 Wrap Up and Subscribe