AMC iFactoryX is a modular edge-to-cloud platform for collecting and processing machine, sensor and robot data across industrial sites, built on Advantech hardware and open industrial protocols. It connects legacy and new equipment via Edge IoT DAQ gateways and remote I/O, normalizes telemetry and exposes it to on-premise or cloud analytics for condition monitoring and predictive maintenance across the factory floor and building infrastructure, keeping a single, consistent data model for all connected equipment. https://www.amc-systeme.de/amc-ifactoryx.html

In the demo, AMC simulates a compact factory with motors, breathing machines and other loads instrumented by vibration, temperature and humidity sensors, all streamed into a unified dashboard. Data can be mirrored both locally and in the cloud, so values such as vibration levels are identical in on-prem views and remote web UIs, enabling engineers to correlate events, track asset health over hours, weeks or months and move toward data-driven maintenance planning that protects uptime.

Filmed at the Advantech booth during SPS in Nuremberg, this interview shows how AMC, a long-standing Analytik & Messtechnik partner of Advantech, layers its iFactoryX software stack on top of WISE-Edge IoT and Linux-based gateways. The architecture supports industrial protocols like Modbus, OPC UA, MQTT, EtherCAT and LoRaWAN, making it possible to integrate third-party machines and brownfield equipment while scaling to thousands of edge devices without changing the overall data pipeline and visualization ecosystem.

For manufacturers cautious about the impact of digitalization projects, AMC packages iFactoryX as a starter kit co-branded with Advantech, giving smaller plants an affordable entry into Industry 4.0 while still being able to extend to large multi-line sites later. The same stack can be deployed purely on-premise for latency-sensitive use cases, or combined with public cloud for fleet-wide monitoring, alarm handling and long-term trend analysis, providing a pragmatic path from simple data logging to full predictive maintenance strategy.

source https://www.youtube.com/watch?v=kY7nXjVbRks

Advantech’s EdgeHub platform is presented as a central control plane for remote operation of industrial I/O, gateways and embedded PCs, giving OT teams a single interface for onboarding, monitoring and configuring distributed assets. It ties together ADAM remote I/O, WISE wireless modules, protocol gateways and IPCs so you can manage both edge connectivity and data flows without custom tooling, from device registration through to tag mapping and alarm handling. https://wise-iot.advantech.com/en-int/marketplace/product/advantech.edgehub

In the demo they focus on how a tenant encapsulates a licensed quota of devices and tags, with clear states such as construction versus operation, plus online and offline status for each node. A WISE-4012E/412E class Wi-Fi Modbus TCP I/O module is used as an example, exposing analog inputs, digital inputs and relay outputs that are all surfaced into EdgeHub’s dashboard so you can see live process values and discrete states in real time, instead of logging into each module individually. The result is a lightweight SCADA-style view built directly on top of wireless field I/O and edge aggregation, ready to be integrated into higher-level cloud analytics or MES platforms

In this conversation from SPS 2025 in Nuremberg, the team shows how EdgeLink-based gateways extend this model by bridging industrial controllers and fieldbuses into the same management and telemetry fabric. An ARM-based gateway and an Intel Atom x6413E-powered UNO-127 DIN-rail IPC can both run the EdgeLink runtime, acting as protocol converters that collect data from Siemens, Mitsubishi or Rockwell PLCs via Modbus and expose it upstream as OPC UA servers, Modbus servers or MQTT publishers to cloud backends or SCADA systems. LoRaWAN gateways such as the WISE-6610 can simultaneously ingest data from smart sensors like the WISE-2410 vibration node, enabling condition monitoring and predictive maintenance across widely distributed equipment. This turns EdgeHub into a focal point for mixed-protocol industrial monitoring

Beyond device onboarding and data routing, the EdgeHub UI exposes an App Hub repository and OTA pipeline so system integrators can push containerised applications, custom runtimes or configuration bundles to gateways and IPCs at scale. Apps are uploaded once into the repository and then dispatched to selected nodes, together with firmware upgrades, Windows updates or configuration files, all controlled via over-the-air workflows instead of manual site visits. This aligns with WISE-Edge365 and EdgeSync concepts, where device management, software lifecycle and telemetry are treated as one continuous edge operations process rather than separate projects

Security and lifecycle governance also feature prominently, with support for X.509 certificate-based authentication, TLS-encrypted channels and allowlisting to protect remote I/O and gateways from unauthorised access while still enabling cross-site management from a central console. For enterprises rolling out hundreds or thousands of ADAM and WISE modules, LoRaWAN sensors and EdgeLink gateways, the combination of multi-tenant licensing, protocol abstraction and secure OTA distribution makes EdgeHub a pragmatic tool for unifying OT device fleets into a coherent edge-to-cloud architecture

source https://www.youtube.com/watch?v=8VVVtDVtq5g

Shuttle Computers uses this interview to present its latest fanless edge PCs built around NVIDIA Jetson Orin and Intel embedded platforms, combining compact form factors with industrial reliability for AI at the edge. Partnering with Silicon Power for wide-temperature DRAM and SSDs, these systems pair stable storage with high TOPS performance in a very small footprint, ready for deployment in demanding field environments. https://www.shuttlecomputers.com/products/spcnv03-industrial-edge-computer

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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In the video, Shuttle highlights its Jetson Orin Nano and Orin NX based edge computers that deliver up to around 40 TOPS and 100 TOPS of AI inference respectively, supported by LPDDR5 memory and industrial-grade NAND. The units are passively cooled with a large top-mounted heatsink, feature dual LAN, HDMI, multiple USB ports and flexible DC power input, making them suitable for real-time computer vision, sensor fusion and other latency-sensitive edge workloads on site.

Use cases discussed range from rolling-stock and transit applications to smart city deployments, where fanless and vibration-resistant systems are essential for reliability over long lifecycles. Industrial-temperature RAM and SSD modules from Silicon Power help keep the platform stable in harsh environments, while Shuttle’s embedded design focuses on EMC compliance, wide operating temperature envelopes and low maintenance in the field.

Recorded at Embedded World North America in Anaheim, this conversation also touches on Shuttle’s North and South American presence from its City of Industry office and the fact that these edge systems are already in mass production. The result is a compact edge AI platform that fits neatly into traffic monitoring, digital signage, video analytics and automation projects where quiet operation and local processing are more important than sheer rack-scale computing.

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IBM’s CTO for Data and AI storage solutions, Chris Meestas, walks through how IBM Fusion brings together containerized applications, virtual machines and AI workloads on a single, software-defined data platform. Fusion abstracts the underlying hardware so enterprises can run storage services on IBM-qualified systems or partner infrastructure, on-premises or in the cloud, while quickly getting to “Day 2” operations like scaling, monitoring and lifecycle management for modern data stacks. https://www.ibm.com/products/storage-fusion/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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A key theme in the video is modernization without a full rip-and-replace of existing environments. Fusion is presented as a framework that overlays current compute and storage, automating deployment of container-based services and virtualized workloads while keeping policy, security and observability consistent. The result is a common control plane for data serving AI training, inferencing, analytics and more, instead of separate silos for each type of workload and each generation of infrastructure

On top of this foundation, IBM is now adding content-aware storage capabilities. Rather than only cataloging file paths and basic metadata, the system can understand “who, what, when and where” inside the stored content itself, enabling AI-style queries directly against the storage layer. Chris uses an example like asking which meetings he had at a past supercomputing conference and who he presented to; the storage stack can surface that context by inspecting the data, allowing more powerful inferencing and reducing the friction between unstructured archives and AI-driven insight

The demo also highlights IBM’s deep archive solution, which couples Fusion’s software-defined stack with high-density tape libraries. Data generated by AI and other workloads in Fusion can be tiered automatically into an S3-compatible, Glacier-like deep archive that remains searchable but optimized for low-cost, long-term retention. Chris mentions a single rack reaching on the order of 61 petabytes with robotic tape handling and aggregate throughput around 13.1 terabytes per hour, making tape a relevant option again for cold data, cyber-resilient backups and long-horizon compliance use cases where energy efficiency and durability matter more than millisecond access

Recorded at the Supercomputing 2025 conference in St Louis, this conversation positions IBM Storage as an integral part of large-scale AI and HPC infrastructure rather than a passive backend. Fusion, content-aware storage and deep archive together form a continuum from hot GPU-adjacent datasets through warm object storage down to ultra-cold tape, all managed under a common policy and orchestration layer. For architects building hybrid cloud AI platforms, the video gives a concise look at how IBM is trying to collapse complexity in the data pipeline while keeping options open across hardware, locations and scale in the wider ecosystem

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Infineon engineer Jeffrey demonstrates the AIROC CYW5551x Wi-Fi 6/6E + Bluetooth 5.4 combo as an audio bridge between today’s Bluetooth Classic devices and next-generation Bluetooth LE Audio endpoints. A phone streams standard A2DP audio into a CYW5551x-based node, which decodes the Classic stream and re-encodes it as LE Audio using the LC3 codec, then broadcasts it simultaneously to multiple Auracast receivers. Under the hood, the family integrates an 802.11ax 1×1 tri-band Wi-Fi radio and a 192 MHz Arm Cortex-M33, making it suitable for embedded audio, IoT and connected consumer products that need robust wireless and local processing on a single platform https://www.infineon.com/products/wireless-connectivity/airoc-wi-fi-plus-bluetooth-combos/wi-fi-6-6e

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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The demo focuses on Bluetooth LE Audio’s broadcast capabilities, branded by the Bluetooth SIG as Auracast, where a single transmitter can stream synchronized audio to many independent receivers. Thanks to LC3, LE Audio maintains intelligible sound quality at significantly lower bitrates than Classic, improving robustness in noisy RF environments and reducing power consumption in hearables and wearables Jeffrey walks through how this makes assistive listening more flexible: instead of pairing to each listener, audio from a phone, set-top box or media processor can simply be advertised and subscribed to by compatible earbuds, hearing aids or public receivers in the same ecosystem

In the conversation you also hear how Infineon addresses interference in dense spaces by deploying multiple LE Audio relay nodes across a room, each rebroadcasting the Auracast stream so attendees always remain within good RF coverage. Combined with CYW5551x’s high transmit power and long-range LE sensitivity, this makes it feasible to scale assistive listening or multi-listener audio to conference halls, lecture theatres, museums or transport hubs without complex pairing workflows or dedicated cabling infrastructure

Recorded at Embedded World North America 2025 in Anaheim, this booth demo situates the CYW5551x within Infineon’s broader AIROC wireless roadmap, where the same connectivity platform can be hosted by Linux or RTOS systems and reused across headsets, TVs, soundbars, conferencing bars and industrial HMIs For product designers, the key takeaway is that CYW5551x is not just a Wi-Fi/Bluetooth combo, but a migration path from legacy Bluetooth Classic audio to LE Audio and Auracast, enabling next-generation hearing-assistance and shared-audio experiences with a consistent connectivity and software stack suitable for long-lived embedded engineering

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Pyramid Computer uses this interview to outline its AKHET® portfolio of industrial PCs and servers tailored for embedded and edge deployments. The discussion covers compact Motion, Railon and Aeron systems alongside a 1U Endurance server, showing how the same platform family can scale from small fanless boxes to rack-mounted compute for more demanding tasks, including transaction processing and local data aggregation. The focus is on configurable hardware for machine integration, digital signage, kiosks and factory environments, rather than generic office IT. https://us.pyramid-computer.com/products/pc-server-solutions/

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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The Motion Pro i, Motion Slim i and Motion Lite i systems are positioned as flexible IPCs with Intel Core processors (up to 12th/13th/14th Gen), rich front I/O and PCIe expansion for camera interfaces or GPUs, enabling machine vision, visualization and control workloads in a compact chassis. Railon Pro i targets DIN-rail cabinets with multiple GbE and real-time Ethernet ports, while Aeron Lite i and Aeron Max i bring energy-efficient edge computing based on Intel Alder Lake Atom and low-power Core CPUs. Across these form factors, Pyramid balances passive or active cooling, wall or DIN mounting and OEM customization through its AKHET platform.

Filmed at Embedded World North America 2025 in Anaheim, the video also touches on typical deployment patterns in North American projects. Pyramid North America supports use cases ranging from simple media players driving digital content screens to interactive kiosks that process payments and front-end transactions at the edge, often as part of a distributed retail or franchise network. The same hardware families can be hardened for factory floors, where they sit close to machines, sensors and PLCs to run HMI applications, data logging or local analytics.

A key theme throughout is unifying industrial PCs, kiosks and servers under one vendor so customers can standardize their edge stack. Pyramid leverages its background in self-service terminals and POS/kiosk systems to design A-frame displays and kiosk-ready enclosures that hide the industrial PC while exposing only the required touch, card, printer or scanner interfaces. For OEMs and system integrators walking the show, this portfolio offers a path to deploy consistent AKHET-based compute nodes across production lines, retail stores and public venues, with options from low-power Aeron gateways up to Azure-local-certified Endurance servers.

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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MSI’s industrial division showcases how it extends its consumer PC heritage into rugged embedded platforms, spanning compact box PCs and long-lifecycle industrial motherboards for OEM and system integrator projects. Their IPC portfolio focuses on fanless and high-performance box PCs across ultra-slim, slim and compact form factors, plus edge computers and IoT gateways for AIoT deployments in factories, transportation and smart retail. https://ipc.msi.com/

Tony starts with small industrial box PCs aimed at the factory floor, including an actively cooled metal chassis that stays light and easy to mount, and a slightly larger fanless design for dusty production lines where eliminating moving parts is critical. These systems target industrial automation, machine control and data logging, combining Intel-based CPUs with a variety of serial ports, Ethernet and USB so that integrators can bridge legacy fieldbuses and modern IP networks in a compact embedded form factor.

MSI also highlights dedicated in-vehicle and fleet-management PCs that bring the same embedded design language into transportation use cases like logistics, public transport and in-vehicle infotainment. These rugged systems focus on vibration resistance, wide-temperature operation and DC power input, while ultra-slim signage-oriented PCs with HDMI and DisplayPort outputs can disappear behind a screen to drive kiosks, information panels or 4K digital signage in smart retail and public spaces.

For higher compute budgets MSI shows an embedded platform based on Intel P-series processors, aimed at edge workloads that demand more CPU headroom and richer I/O while still fitting into compact, fanless or low-noise enclosures. Around these systems, MSI IPC offers ATX, Mini-ITX and small-form-factor industrial boards with typical lifecycle support of around 5–7 years, giving machine builders and transportation or smart-factory customers a consistent hardware baseline from prototype to long-term rollout, as demonstrated in this interview filmed at Embedded World North America 2025 in Anaheim.

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The video explores how STMicroelectronics brings edge AI into a smart rear-view mirror demo built on the new STM32N6 microcontroller, using on-chip neural processing to run YOLOv8n object detection and semantic segmentation directly on the MCU while streaming compressed video to a phone. It shows how cars, trucks, buses, cyclists and pedestrians are classified in real time at around 24 frames per second, all from a microcontroller footprint instead of an application processor. https://www.st.com/en/microcontrollers-microprocessors/stm32n6-series.html

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

At the heart of the board is an Arm Cortex-M55 core paired with ST’s Neural-ART accelerator NPU delivering up to 600 GOPS and roughly 3 TOPS per watt, backed by 4.2 MB of embedded RAM for buffering feature maps and camera data efficiently. An integrated image signal processor prepares the sensor stream for the AI accelerator while a hardware H.264 encoder and connectivity blocks handle video compression and Wi-Fi streaming, so the same chip can both understand the scene and deliver it to an external display without extra external hardware.

The smart rear-view mirror concept illustrates how this computing budget can be used for pixel-level semantic segmentation of the full frame instead of simple bounding boxes, enabling more robust perception for driver assistance, fleet monitoring or lightweight ADAS. Running YOLOv8n-class models at around 24 FPS within a power envelope of only a few hundred milliwatts makes it viable for always-on automotive and two-wheeler systems where thermal headroom is tight and cost per node must remain low.

Beyond automotive, the interview touches on other STM32N6-based demos including speech enhancement, where the same NPU pipeline is used to clean up noisy audio on-device, and precision seed dispensing, where AI helps regulate real-time seed flow to avoid clogging in agricultural machinery. Together they show how computer vision, audio processing and control loops can coexist on one MCU platform for industry, smart agriculture and embedded sensing.

To help developers get from idea to deployment, ST points viewers to its ST Edge AI and STM32 AI ecosystem, including the ST Edge AI Developer Cloud, STM32Cube.AI code generation, model zoo examples such as semantic segmentation, and production-ready discovery kits and dev boards now in volume. Filmed at Embedded World North America 2025 in Anaheim, this conversation gives a concise snapshot of how STMicroelectronics positions the STM32N6 as a high-performance edge AI microcontroller for real-world embedded engineering.

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Acontis presents its Alasis real-time hypervisor running multiple deterministic Linux controllers and a Windows HMI on a single Advantech UNO-148 edge IPC, consolidating motion control, virtual PLC logic and supervisory functions for EtherCAT-based machines and robots in one compact DIN-rail system https://www.acontis.com/

The discussion dives into how the Debian-based hypervisor hosts several Yocto real-time Linux guests alongside Windows, each with dedicated access to fieldbuses and I/O while sharing the same 11th Gen Intel Core platform inside the UNO-148 edge controller, removing the need for separate PLC and SCADA PCs in industrial cabinets.

Acontis walks through the real-time behaviour of these Linux guests, showing a 1 kHz EtherCAT control loop with only around 8 µs jitter on top of a 1 ms cycle, something you cannot reliably achieve with a general-purpose Windows scheduler; even if Windows reboots or crashes, up to five hardened PREEMPT_RT Linux instances keep the motion and I/O control loops deterministic and isolated from non-real-time workloads.

On top of the hypervisor, the demo highlights the EC-Master EtherCAT master stack running in user space on real-time Linux and driving multiple EtherCAT subdevices, while a virtual PLC based on CODESYS executes IEC 61131-3 logic on another guest, illustrating how the same IPC can host low-level motion in C/C++ and higher-level PLC programs across x86 and ARM targets using the same toolchain and APIs.

The conversation also touches on how EC-Master and the acontis real-time hypervisor portfolio are used by OEMs across robotics, semiconductor manufacturing, medical devices and aerospace machines, leveraging EtherCAT and virtual controllers to meet strict latency requirements while still benefiting from Windows-based UX, diagnostics and data logging on the same hardware.

Filmed at the Advantech booth during SPS 2025 in Nuremberg, this video captures a concrete example of converging PLC, motion control and HMI workloads into a single industrial edge platform, simplifying cabinet design while keeping deterministic EtherCAT performance at the core of the architecture.

source https://www.youtube.com/watch?v=zk-aDfXYYl8

Infineon showcases its PSoC Edge MCU family, a heterogeneous Arm Cortex-M55/M33 platform with Helium DSP, Arm Ethos-U55 NPU and Infineon’s NNLite accelerator, aimed at low-power edge machine learning for face ID, voice assistants and rich 2.5D graphics HMI on a compact evaluation kit platform https://www.infineon.com/promo/next-generation-mcu

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

In the interview, Infineon engineer Alexi walks through the PSoC Edge evaluation kit that combines a high-density MCU module, display and an extension board with extra peripherals to prototype human–machine interfaces, smart home nodes and industrial control devices on the same hardware. Shot during Embedded World North America 2025 in San Diego, the demo highlights how the graphics engine, memory subsystem and sensor interfaces are tuned for responsive yet energy-efficient interaction on battery-powered hardware

The conversation focuses on deploying machine learning models directly into the microcontroller, with examples like on-device face recognition on the Cortex-M55 plus Ethos-U55 path and keyword-spotting voice assistance running in the low-power domain. Infineon’s toolchain combines ModusToolbox, DEEPCRAFT AI Suite and support for NVIDIA TAO-generated models so developers can train, quantize and map neural networks efficiently onto the PSoC Edge accelerators while staying within tight memory and power envelopes

For embedded developers, this video offers a concise look at how PSoC Edge turns Arm-based microcontrollers into practical TinyML platforms for wearables, smart locks, appliances, domestic robots, industrial robots and other HMI-centric designs. With always-on acoustic activity detection, on-chip non-volatile RRAM, up to several megabytes of SRAM and open demo projects available online, the PSoC Edge family provides a realistic path from proof-of-concept boards to production-grade edge AI products in the broader Infineon ecosystem

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This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

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source https://www.youtube.com/watch?v=qFYBJYncwTw

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

Foundries.io’s George Gray explains how the team, now inside Qualcomm, is turning its cloud-native FoundriesFactory platform into the backbone for secure Linux- and MCU-based IoT products. By combining lifecycle device management, secure OTA pipelines and an open DevSecOps workflow, Foundries.io aims to let OEMs and startups go from Arduino prototype to maintainable fleet without building their own infrastructure. https://foundries.io/

The discussion revolves around the new Arduino UNO Q, a dual-brain board that pairs a Debian Linux system-on-module based on Qualcomm’s Dragonwing QRB2210 with an STM32U585 microcontroller. This hybrid Linux plus real-time architecture keeps the familiar Arduino GPIO footprint and shields, while adding Wi-Fi 5, Bluetooth 5.1, high-speed camera and display connectors and USB-attached HDMI, so developers can move from simple sketches to AI-enabled graphical applications on the same $45 board.

Gray shows how FoundriesFactory acts as a SaaS DevOps layer for these devices, providing Yocto-based Linux images, containerized applications, CI/CD, fleet management and over-the-air updates built on The Update Framework (TUF). Recorded at Embedded World North America in Anaheim, the demo dashboard represents a live “factory” of devices where OEMs can roll out firmware, kernel and application updates, track SBOMs and vulnerabilities, and design for upcoming EU Cyber Resilience Act (CRA) requirements around secure-by-design lifecycle management.

Within Qualcomm’s broader edge strategy, the acquisitions of Foundries.io, Edge Impulse and Arduino create a full stack that links silicon, Linux distributions, ML tooling and device management. The same platform can target Qualcomm RB3 Gen 2 and other SoCs for vision workloads such as object detection, while still supporting non-Qualcomm hardware, keeping the software stack open and portable for mixed fleets and long product lifetimes.

The conversation closes on how AI fits both on and around the device: Edge Impulse can retrain models on new datasets and FoundriesFactory can safely redeploy those models, while generative AI today is more pragmatic in testing, documentation and developer assistance than in producing security-critical firmware. Together, this ecosystem hints at how maker-grade boards like UNO Q, secure OTA infrastructure and CRA-aligned practices can converge into industrial IoT and edge products that stay maintainable and secure over many years.

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This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

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nRF Cloud powered by Memfault brings embedded observability and device lifecycle management directly into Nordic-based designs, combining a tiny on-device firmware SDK with a cloud backend that aggregates core dumps, logs, metrics and traces from every node in the field. By integrating into nRF Connect SDK, Zephyr, bare metal MCUs, Linux and Android, developers get JTAG-level insight into production systems without physical access, enabling remote debugging, fleet health monitoring and controlled OTA firmware rollouts from the same web console https://memfault.com/

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

In this interview from Embedded World North America 2025 in Anaheim, Victor explains how instrumenting devices with the Memfault SDK installs fault handlers that periodically upload captured core dumps and telemetry to nRF Cloud when connectivity is available. The footprint is only a few kilobytes, so it fits comfortably on Nordic nRF52, nRF53, nRF54 and nRF91 Series designs as well as other Zephyr-based or bare-metal systems. For low-power and intermittently connected devices, data is buffered and flushed later, so developers still get complete post-mortem context comparable to having the device on their lab.

On the nrfcloud.com dashboard, teams see active device counts, software version rollouts over time, trace volume and reboot reasons, making it easy to correlate new crashes or reboots with a specific firmware release. Memfault parses stack traces to deduplicate core dumps, grouping crashes by true root cause and counting how many devices and occurrences are affected across the fleet. Combined with device management and location services exposed in nRF Cloud, this gives a consolidated view of reliability, deployment progress and field behavior across a growing fleet.

Beyond crashes, the platform collects arbitrary metrics, including a flash-wear indicator for eMMC-based designs that estimates remaining lifetime from bytes written and controller wear data. This is particularly relevant for long-lived IoT deployments in asset tracking, smart agriculture or industrial monitoring where flash endurance directly impacts service costs. New AI features such as the “AI version summary” use metric trends before and after a release to generate human-readable summaries of regressions and improvements, leveraging months of historical data retention to highlight patterns in device history.

Out of the box, nRF Cloud powered by Memfault provides Nordic reference integrations, while allowing teams to add custom metrics, events and logs tailored to their product domain. That combination of embedded observability, remote diagnostics, fleet-wide metric analysis and OTA control helps firmware, operations and data teams collaborate on reliability and compliance, turning real-world telemetry into concrete fixes rather than one-off support tickets. The result is a practical path to operating large Nordic-based fleets with clear insight and confidence in each deployment.

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This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

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Microchip’s new Edge AI business unit brings together a broad portfolio of 16-bit dsPIC33 Digital Signal Controllers, 32-bit Arm-based microcontrollers and microprocessors, and low-power PolarFire FPGAs into a coherent edge machine learning stack. The goal is to let designers deploy sensor analytics, computer vision and predictive maintenance workloads directly on small embedded targets instead of depending on the cloud, while still integrating with existing industrial networks and management platforms. https://www.microchip.com/en-us/solutions/technologies/machine-learning

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

In the smart home demo, an 11-inch HMI is driven by a SAMA7 Cortex-A7 MPU running up to 1 GHz, which is well suited for Linux-based GUIs, graphics acceleration and camera input. The system controls lights and fans, aggregates door and environmental sensors and runs a fully local face-recognition pipeline based on the open-source SCRFD detector and a Facenet-style embedding model, so authorized users can be recognized at the door without streaming frames to the cloud. The same platform can host keyword spotting, IMU-based activity recognition and other edge ML workloads using the same Cortex-A7 compute budget and camera or sensor interfaces.

For industrial users, Microchip highlights predictive maintenance on a 16-bit dsPIC33 DSC motor-control board with swappable DIM controller modules. Engineers can log current, RPM and vibration data via MPLAB Data Visualizer and then use the MPLAB Machine Learning Development Suite to train anomaly detectors or regression models that run entirely on the DSC in real time. A complementary retrofit reference design uses accelerometers, a MEMS microphone and a temperature sensor, along with a custom low-power power-management subsystem, to turn existing motors and machines into monitored assets without redesigning the drive electronics.

Both approaches emphasize an edge-first architecture where inference runs locally and connectivity is used mainly for configuration, fleet monitoring and model lifecycle management. Wired Ethernet networks of microcontroller nodes can coexist with Wi-Fi based connectivity to a cloud partner platform such as aet IoT, so operators see consolidated dashboards while devices continue to make millisecond-level decisions at the edge. This balance between local autonomy and cloud coordination is key to scaling condition-based maintenance in factories without over-provisioning bandwidth or compute in the data center.

On the vision side, a PolarFire-class FPGA demo runs face recognition and pose estimation over multiple CSI camera streams, with the option to offload further processing to an attached NVIDIA accelerator when workloads grow. Microchip has been positioning PolarFire FPGAs as low-power, deterministic fabrics for edge AI and has even introduced an Ethernet Sensor Bridge that feeds multi-protocol sensor data into NVIDIA Holoscan and Jetson platforms for real-time robotics and medical imaging workloads. ([microchip.com][4]) This interview, filmed at Embedded World North America 2025 in Anaheim, captures how those FPGA capabilities, dsPIC33 DSCs and SAMA7 MPUs are being combined into a practical edge ML roadmap spanning smart home, factory and embedded vision system.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

source https://www.youtube.com/watch?v=EURnUDsizGw

Advantech uses this interview to walk through how its industrial panel PCs, IP65 HMIs and box PCs can orchestrate a complete secondary packaging line, from machine control to line-level monitoring and OT/IT connectivity. Fabio explains how the same hardware families span use cases from machine builders to factory digitalization, transportation and utilities, always with ruggedized, wide-temperature, fanless designs suitable for harsh industrial environments and continuous operation at the edge. More information on the broader IPC and HMI portfolio is available at https://www.advantech.com/

One focus in the demo is an IP65 all-around HMI, mounted on an arm, combined with the pocket-size UNO-2271G industrial gateway. This compact box PC brings Intel Atom or latest Celeron-class compute, dual LAN, HDMI and USB 3.0 into a fanless, wide-temperature enclosure, making it a small but capable edge node for smart factory use. A converter aggregates HDMI and USB over a single Ethernet cable using HDBaseT-class technology, so video, touch and data are all carried to the sealed HMI while keeping electronics safely in a control cabinet. The front panel can host customizable emergency stop, key-switch and selector buttons plus RFID-based user authentication, aligning operator ergonomics with machine safety and access control requirements

Advantech also shows a 10-inch full HD USB-C monitor powered entirely from the same UNO-2271G, where a single cable carries power, display signal and touch input to simplify installation and reduce cable clutter on packaging lines. Looking ahead, Fabio introduces the TPC-200 concept: a web panel that integrates a Qualcomm CPU with on-board MPU and AI acceleration, plus a smart camera behind the bezel, to run local vision inspection directly in the HMI. This fits into Advantech’s broader collaboration with Qualcomm to offer energy-efficient, edge AI platforms capable of multi-camera vision, model inference and on-premises generative workloads for industrial customers

Beyond HMIs, the booth highlights a spectrum of industrial box PCs from entry-level gateways to high-end Intel Core Ultra systems with optional NVIDIA Quadro GPU cards for demanding machine vision and analytics workloads. These fanless embedded PCs expose multiple GbE ports, serial interfaces and industrial power connectors, so they can aggregate sensor data, drive AI-based automated optical inspection and coordinate motion control across secondary packaging cells and battery production lines. By scaling CPU, GPU and I/O density across families, Advantech allows OEMs to reuse the same platform architecture from simple gateways up to GPU-accelerated vision servers deployed alongside conveyor systems and robotic case packers

Fabio closes by situating this portfolio in Advantech’s global footprint and the SPS Nuremberg 2025 context, noting that the company holds a significant share of the global IPC and panel PC market with more than 20,000 standard part numbers and extensive customization options from branding and color to mechanics and software. European operations combine a commercial office and lab in Italy with a regional HQ and configuration services in Eindhoven, backed by three major manufacturing sites in Taipei, China and Japan that can take over each other’s production if needed. As SPS evolves from pure machine automation toward OT/IT convergence, AI vision and data-centric smart factories, the discussion shows how Advantech positions its HMIs and edge PCs as a modular hardware layer ready for modern industrial digitalization

Advantech UNO-2271G and Qualcomm HMI Prototype for Machine Vision Edge Computing

source https://www.youtube.com/watch?v=8LILKjzOEfg

GitLab uses this demo to show how its DevSecOps platform unifies planning, source code management, CI/CD, security and compliance for embedded and firmware teams. Instead of stitching together separate tools, development, security and operations share one pipeline that builds, tests, scans and packages releasable device software images for microcontrollers and Linux-based edge hardware. https://about.gitlab.com/platform/

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

Field CTO Darwin Sanoy walks through an embedded workflow built around merge requests as the single source of truth for each change. Policy-based pipelines attach relevant static and dynamic security findings, surface only issues in the code that changed, enforce approval rules and block merges when risk thresholds are exceeded. For embedded teams, this shift-left DevSecOps approach shortens cycle time between iterations while preserving traceability for audits and regulated work.

A central theme is bringing real hardware into the CI loop. GitLab Runner on a backpack PC controls a pet-toy robot dog and boards such as Raspberry Pi Pico and Raspberry Pi 5. Firmware is compiled and flashed as part of the pipeline, then Robot Framework tests validate behaviour on the physical device before results flow back into the merge request. The same pattern underpins GitLab’s on-prem embedded device cloud, which allocates boards on demand for software-in-the-loop and hardware-in-the-loop testing and returns them to a shared pool when jobs complete.

The interview also highlights GitLab’s AI capabilities, which extend beyond code generation. AI assistants integrated across the platform can explain failing CI jobs, unfamiliar CI YAML or inherited C/C++ code, and suggest next steps directly inside merge requests, IDEs and logs. For embedded specialists who are not full-time DevOps engineers, this AI layer lowers the barrier to adopting robust CI/CD and security practices without replacing human review.

Recorded at Embedded World North America 2025, the session shows how GitLab can sit at the centre of an embedded organisation’s tooling, treating every firmware build as a releasable artefact rather than an ad hoc binary. With policy-driven pipelines, device-cloud style hardware orchestration and platform-wide AI assistance, the same workflows can support pet toys, industrial controllers or IoT gateways. It is a practical view of DevSecOps applied to real boards on a busy trade-show floor instead of a slide-only deck.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

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NVIDIA’s desktop team presents DGX Spark as a true “personal AI supercomputer” form factor: a Grace Blackwell GB10 Superchip system delivering around 1 petaFLOP of FP4 AI performance, 128 GB of coherent unified memory and 4 TB NVMe storage so LLMs and multimodal models up to roughly 200 billion parameters can run locally instead of in the cloud. With the full NVIDIA AI software stack preinstalled and a ConnectX-7 SmartNIC for 100 GbE plus 10 GbE RJ-45, two DGX Spark units can be linked as a mini cluster to push into 400B-parameter experimentation while staying on the developer’s own desktop. https://www.nvidia.com/en-us/products/workstations/dgx-spark/

—
HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
—

In the interview, NVIDIA positions DGX Spark as a way for researchers and engineers whose laptops are hitting memory and bandwidth limits to keep working inside familiar IDEs and toolchains while offloading training, fine-tuning, RAG and agent workloads to a silent 1.2 kg box beside the monitor. The industrial design deliberately echoes the original DGX-1 Jensen Huang delivered to OpenAI, but compresses a rack-class capability into a footprint of 150 x 150 x 50.5 mm, turning what used to require a lab into something that fits on a shared office desk.

Next to DGX Spark, NVIDIA showcases its RTX Pro 6000 Blackwell workstation GPUs, in Max-Q 300 W, 600 W active-cooled desktop and passive server variants. Built on the Blackwell architecture with 96 GB of GDDR7, a 512-bit memory interface and roughly 1.8 TB/s bandwidth, these boards bring fifth-generation Tensor Cores with FP4/FP8 modes and fourth-generation RT Cores into single-socket workstations, with support for four-GPU configurations over PCIe Gen 5. For CAD, DCC, digital twins, robotics simulation and small-to-mid-scale model training, that combination of VRAM capacity and throughput is what keeps data on-GPU instead of constantly paging to system memory or the network.

Recorded at SC25 in St Louis, the conversation ties these pieces together as a continuum from desktop AI boxes to multi-GPU workstations and datacenter nodes, all sharing the same Blackwell, CUDA and NVIDIA AI Enterprise software ecosystem. OEM partners like Dell, HP, Lenovo, MSI and others are already integrating RTX Pro 6000 Blackwell and Grace Blackwell platforms into their own systems, so developers can choose between a turnkey DGX Spark on the desk, a full workstation packed with RTX Pro 6000 boards under the desk, or scaling out to clusters while keeping a consistent toolchain across the whole AI community.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

Check out my video with Daylight Computer about their revolutionary Sunlight Readable Transflective LCD Display for Healthy Learning: https://www.youtube.com/watch?v=U98RuxkFDYY

source https://www.youtube.com/watch?v=3xu4XuH6MFU

SALZ Automation shows how virtualization and functional safety can run on the same industrial PC. With its SALZ Control System and ZOS real-time Linux, the company runs CODESYS Virtual Safe Control SL as a SIL3 safety controller on standard Advantech edge hardware instead of dedicated safety PLCs, turning commercial off-the-shelf systems into certified safety platforms. https://www.salz-automation.com/en/From_Virtualisation_to_Functional_Safety

The demo implements an emergency-stop scenario using Functional Safety over EtherCAT (FSoE) and mixed I/O vendors, with virtual PLC and virtual safe PLC instances replacing classic hardwired safety CPUs. Safety logic is engineered in CODESYS but executed inside containers, where safe runtime and standard control runtime are isolated and monitored via the SALZ dashboard while the full setup draws only about six percent CPU on the Advantech box.

Architecturally, SALZ maps the CODESYS “Safe House” pattern into a containerized system: one host provides an external time source, the other runs the virtual safe controller and standard control tasks as dual software channels that meet IEC 61508 SIL3 timing requirements. This virtualized safety path preserves deterministic execution and diagnostic coverage while replacing hardware redundancy with software-defined redundancy managed through Docker-style orchestration.

Because the stack is protocol-agnostic, the same approach can be applied in robotics cells, packaging lines, food and beverage plants or process and gas applications wherever functional safety and flexible topology are required. OEMs and integrators can scale from single machines to fleets by spinning up containers instead of redesigning hardware, while staying in the standard CODESYS Safety engineering environment.

Recorded at the Advantech booth during SPS 2025 in Nuremberg, the discussion positions this as an early live deployment of virtual safety control on generic edge hardware. It reflects a broader shift in industrial automation from fixed, hardware-bound safety PLCs to software-defined control on open PCs, with containerization, EtherCAT and OPC UA helping virtual PLCs and virtual safe controllers coexist on the same box without compromising certified safety levels.

source https://www.youtube.com/watch?v=pJ8JsbagAHk

Axiomtek showcases how its own motherboard-to-system design strategy scales from smart city video walls to edge AI inspection in this tour of their Intel and NVIDIA powered platforms. The demo starts with a smart city monitoring system that can drive up to nine simultaneous video streams, using dedicated acceleration to handle high-bandwidth analytics rather than simple passive display. https://www.axiomtek.com/

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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On the NVIDIA side, Axiomtek’s AI series integrates Jetson-based compute into rugged fanless boxes with GMSL-style camera connectors, so integrators can bring in four or eight cameras per node depending on the configuration. The suitcase-counting demo illustrates how multi-camera computer vision, object detection and tracking can be deployed directly at the edge for logistics, retail or transportation analytics without sending all the raw video to the cloud.

A second demo focuses on anomaly detection and quality inspection, where Axiomtek’s AIE500 hardware runs a partner’s AI software stack. Operators capture reference images of a “good” bolt or PCB, then the model learns to flag deviations on the production line or in agriculture and other verticals. The system exposes confidence scores and thresholds, so process engineers can tune false positive and false negative rates for their specific workflow rather than treating AI as a black box.

Behind the glass wall, Axiomtek walks through its “bread and butter” embedded boards, from full-size ATX all the way down to the credit-card-sized KIWI300 platform. These boards target transportation, networking, retail, gaming and industrial control, and feed into DIN-rail IoT gateways such as the IECO and IIA series. In this Embedded World North America 2025 setup, the gateways act as secure edge nodes, handling connectivity, cybersecurity policies and protocol translation between field devices and higher-level IT systems.

The tour ends on industrial panel PCs and Intel-powered embedded systems designed as HMIs and edge analytics nodes for factories and smart buildings. A proximity and ambient-light sensor automatically dims the display and reduces power draw when nobody is nearby, then wakes the interface when an operator approaches. A security-oriented demo shows how vision analytics can detect people lingering in a zone, similar to a professional “ring camera” that can trigger alerts or escalation. With manufacturing in Taiwan and integration and engineering support from its City of Industry office in the US, Axiomtek positions these platforms as building blocks for scalable, production-ready edge AI deployments.

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Hybrid quantum-classical computing is moving from theory into real workflows, and IBM is using this demo to show how that looks on IBM Cloud. A single application is split into several stages: classical HPC jobs prepare and analyze molecular configurations, then a quantum circuit is generated and executed on an IBM quantum processor, before the final results are visualized for the user. IBM Spectrum LSF acts as the batch scheduler and control plane that orchestrates these stages end to end on cloud infrastructure. https://www.ibm.com/products/hpc-workload-management

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HDMI® Technology is the foundation for the worldwide ecosystem of HDMI-connected devices; integrated with displays, set-top boxes, laptops, audio video receivers and other product types. Because of this global usage, manufacturers, resellers, integrators and consumers must be assured that their HDMI® products work seamlessly together and deliver the best possible performance by sourcing products from licensed HDMI Adopters or authorized resellers. For HDMI Cables, consumers can look for the official HDMI® Cable Certification Labels on packaging. Innovation continues with the latest HDMI 2.2 Specification that supports higher 96Gbps bandwidth and next-gen HDMI Fixed Rate Link technology to provide optimal audio and video for a wide range of device applications. Higher resolutions and refresh rates are supported, including up to 12K@120 and 16K@60. Additionally, more high-quality options are supported, including uncompressed full chroma formats such as 8K@60/4:4:4 and 4K@240/4:4:4 at 10-bit and 12-bit color.
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The video walks through a typical hybrid workload for quantum chemistry and materials modeling, where classical nodes first determine the geometry of a molecule and perform the heavy pre-processing. A subsequent step transposes and lays out the quantum circuit that will run on the quantum hardware, mapping the problem into qubits and gates. Once the quantum job completes, its output is fed back into the classical simulation pipeline, which aggregates and visualizes the results in a form domain experts can interpret.

IBM positions quantum not as a separate, exotic system but as another specialized accelerator in the HPC stack, similar to how GPUs and FPGAs are used today. Over roughly three decades, HPC workflows have evolved from CPU-only to heterogeneous architectures; quantum processors are presented here as the next accelerator class for problems like many-body physics, quantum chemistry and complex optimization that are difficult to scale classically. This interview, filmed at SC25 in St Louis, frames that shift as an incremental step in established HPC practice rather than a replacement of existing compute.

On the software side, the key piece is the integration between IBM Spectrum LSF and Qiskit, IBM’s open-source Python SDK for building and running quantum circuits on real hardware or simulators LSF submits, queues and schedules the classical pre- and post-processing jobs, and at the appropriate point in the workflow it invokes the quantum step via Qiskit APIs against IBM Quantum systems hosted in the same cloud region. This provides a single workload management layer and unified control plane for both classical MPI-style jobs and quantum execution.

The conversation also touches on accessibility: researchers and developers can already request limited free access to IBM Quantum systems via the IBM Cloud interface, experiment with Qiskit to prototype algorithms, simulate them, and then run them on real devices to study behavior under noise. The demo in the booth is less about a one-off visualization and more about showing how a complete hybrid pipeline can be expressed as jobs, scheduled, monitored and iterated as quantum hardware and cloud software continue to mature.

I’m publishing about 90+ videos from Embedded World North America 2025, I upload about 4 videos per day at 5AM/11AM/5PM/11PM CET/EST. Join https://www.youtube.com/charbax/join for Early Access to all 90 videos (once they’re all queued in next few days) Check out all my Embedded World North America videos in my Embedded World playlist here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

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Murata showcases its latest industrial power and sensing portfolio, from predictive maintenance vibration sensors to compact DC-DC converters, PoE modules and data center supplies. The video walks through how these building blocks support robotics, medical devices and GPU servers by combining isolation, efficiency and protection features. More technical details on Murata’s DC-DC converter families are available at https://www.murata.com/products/power/nonisolated-dc-dc-converter

On the SPS Nuremberg 2025 show floor, the demo starts with a predictive maintenance setup where a small vibration sensor on a rotating shaft streams condition-monitoring data in real time. By analyzing vibration signatures and trends, engineers can detect bearing wear, imbalance or misalignment early instead of waiting for unplanned downtime. The same sensing know-how underpins Murata’s broader industrial IoT strategy, feeding edge gateways, dashboards and maintenance workflows that close the loop from raw data to actionable insight downstream.

The tour then covers communication and power modules for OT networks. PoE DC-DC modules deliver up to 72 W over Ethernet to cameras, access points and edge nodes, while non-isolated converters and quarter-brick modules cover motor drives and PLC backplanes. Ultra-thin charge-pump modules reach around 72 W at close to 97% peak efficiency in only 2.1 mm height to convert 48 V to a 12 V intermediate bus in datacenters and 5G infrastructure. In robotics, dedicated converters, motor-drive rails and gate-drive supplies are tuned for fast transients and thermal limits inside collaborative and humanoid robot platforms on the factory floor.

A key highlight is Murata’s focus on data center and GPU power delivery. The interview shows 3×5″ 600 W AC-DC units, larger AC-DC platforms with around 95% efficiency, and a 2 kW GPU power concept that uses dual 1 kW non-isolated converters and high-current point-of-load stages to bring 48 V down to around 1 V rails. This two-stage approach mirrors the industry move to 48 V racks with intermediate bus and local high-current regulators for accelerators, storage and networking equipment.

The conversation closes by zooming out to Murata’s wider catalog, from MLCCs and high-voltage resistors for medical and industrial equipment to RFID, wireless connectivity and sensor lines shipping at scale. Viewers get a compact overview of how Murata’s passive components, sensing devices and power modules interlock – from predictive maintenance at the edge to high-density power shelves in the data center – offering a coherent toolbox for modern industrial and compute power workflow.

This video was filmed using the DJI Pocket 3 ($669 at https://amzn.to/4aMpKIC using the dual wireless DJI Mic 2 microphones with the DJI lapel microphone https://amzn.to/3XIj3l8 ), watch all my DJI Pocket 3 videos here https://www.youtube.com/playlist?list=PL7xXqJFxvYvhDlWIAxm_pR9dp7ArSkhKK

Click the “Super Thanks” button below the video to send a highlighted comment under the video! Brands I film are welcome to support my work in this way 😁

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source https://www.youtube.com/watch?v=FmsR0QJYjIM