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At Embedded World 2025, CODICO, a prominent European distributor for Synaptics, showcased a range of advanced products at their booth. Among the highlights were Synaptics’ Astra Machina development kits, the SL1680 processor, and the newly introduced SR110 microcontroller unit (MCU). These offerings underscore CODICO’s commitment to delivering cutting-edge solutions in the embedded systems market.

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The Astra Machina development kits are designed to facilitate rapid prototyping and development for IoT applications. Featuring modular designs, these kits incorporate swappable core compute modules, a common I/O board, and support for various daughter cards, offering flexibility and scalability for developers.

Central to these kits is the SL1680 processor, a high-performance system-on-chip (SoC) optimized for multimodal consumer, enterprise, and industrial IoT workloads. It boasts a quad-core Arm Cortex-A73 CPU, a multi-TOPS neural processing unit (NPU), and a high-efficiency GPU, enabling advanced graphics and AI acceleration. The SL1680 also integrates multimedia accelerators for image signal processing, 4K video encode/decode, and audio processing, making it a versatile solution for complex IoT applications.

The newly launched SR110 MCU extends Synaptics’ Astra platform by delivering high-performance, AI-native, multimodal compute capabilities. Based on the Arm Cortex-M55 core with Helium technology and the Arm Ethos-U55 NPU, the SR110 supports multiple tiers of operation—performance, efficiency, low-power sensing, and always-on modes. This architecture allows for intelligent processing at varying power levels, making it suitable for applications requiring context-aware computing.

A notable demonstration at the CODICO booth showcased the SR110’s capability to measure heart rate via a video stream. By capturing skin variations with each heartbeat, the system calculates the heart rate through frame-by-frame analysis. This innovative application exemplifies the potential of Synaptics’ processors in health monitoring and similar fields.

CODICO’s role extends beyond distribution; they provide comprehensive support to customers from the initial idea through to mass production. Their support engineers, experienced in hardware development, collaborate with a network of software companies to assist clients in bringing products to market efficiently.

For developers interested in these technologies, CODICO offers the Astra Machina kits and the SR110 micro kits through their sample shop. The Astra Machina kit is currently available from stock, while the SR110 micro kit is expected to be available starting in May.

By partnering with Synaptics, CODICO continues to provide state-of-the-art components that empower developers to create innovative IoT solutions. Their presence at Embedded World 2025 highlights their dedication to advancing embedded technologies and supporting the evolving needs of the industry.

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At Embedded World 2025, Toradex presented a comprehensive suite of embedded computing solutions, emphasizing their dedication to simplifying product development across various industries. A notable demonstration featured a customer’s innovative wheelchair capable of navigating stairs, underscoring Toradex’s role in providing robust Linux-based computing platforms that power intricate mechatronic systems.

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In their AI segment, Toradex showcased the capabilities of the Aquila AM69 System on Module (SoM), equipped with four Neural Processing Units (NPUs). This configuration efficiently processed inputs from eight simultaneous camera feeds, highlighting the platform’s robust AI processing capabilities suitable for demanding applications.

Another real-world application demonstrated was the deployment of the Verdin iMX8M Plus in marine environments. This system performed semantic segmentation to detect and map oceanic debris, illustrating the adaptability of Toradex’s solutions to rugged and mission-critical scenarios.

A standout exhibit was the T-Bot, a robot exemplifying heterogeneous multicore processing. It utilized a Cortex-A core running Linux alongside an M core responsible for real-time balancing tasks. This architecture ensured continuous operation even in the event of a Linux system crash, emphasizing system reliability.

Toradex also addressed the forthcoming EU Cyber Resilience Act, highlighting their proactive measures to assist clients in achieving compliance. Their offerings include secure boot processes and continuous vulnerability monitoring, ensuring products meet stringent security standards.

The company’s collaboration with Texas Instruments was evident in their support for various TI starter kits, such as the AM62 and AM62P. This partnership facilitates secure over-the-air updates and subsystem enhancements, streamlining development processes for clients.

An overview of Toradex’s product lineup revealed a focus on scalability and compatibility. The Verdin family, for instance, offers pin-compatible modules, allowing seamless transitions between different processors and performance levels. This flexibility enables tailored solutions without extensive redesigns.

Additionally, Toradex’s commitment to open-source principles was showcased through their provision of design files for carrier boards. Clients can download, modify, and manufacture these designs, accelerating development cycles and reducing time-to-market.

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At Embedded World 2025, MiTAC unveiled a suite of advanced embedded solutions tailored for diverse industrial applications. Central to their showcase was an AI training model and deployment software kit, built on an Intel platform integrated with the Intel GT tool kit. This configuration facilitates efficient AI model deployment and device management, streamlining edge AI implementation.

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MiTAC also demonstrated a compact AI edge device featuring a Hailo-8 AI processor, delivering up to 26 tera operations per second (TOPS). This integration offers substantial AI acceleration capabilities within a small form factor, making it suitable for applications requiring high-performance AI inference at the edge.

In the realm of fleet management, MiTAC presented a comprehensive system equipped with dual cameras—one monitoring the road and the other the driver. Leveraging algorithms for driver monitoring, the system detects behaviors such as phone usage, distraction, or drowsiness. Data is transmitted to a web platform, enabling fleet managers to oversee driver behavior and vehicle status in real-time.

MiTAC’s booth also featured various embedded boards, including ARM-based solutions like the NXP i.MX 8M and Intel platforms such as Tiger Lake UP3 and Alder Lake. Notably, the Alder Lake generation incorporates a dedicated neural processing unit (NPU), enhancing AI inference capabilities up to 22 TOPS, thereby addressing the growing demand for AI at the edge.

Additionally, MiTAC showcased self-service kiosks equipped with dual screens—one for advertisements and another for interactive ordering. Integrated cameras analyze customer demographics, such as age and gender, to deliver targeted advertising. These kiosks also feature thermal printers, barcode scanners, and payment modules, providing a comprehensive solution for retail environments.

Based in Taiwan, MiTAC continues to leverage its extensive manufacturing experience to deliver innovative embedded solutions. Their participation in Embedded World 2025 underscores their commitment to advancing technologies in AI, edge computing, and industrial automation.

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At Embedded World 2025, David Steele from Arcturus presented a line inspection demonstration developed in collaboration with 42 Technology (42T). The system operates on Synaptics’ SL1680 processor, integrating advanced object detection and color analysis to identify pills and detect contaminants on a conveyor belt. The SL1680’s architecture includes a quad-core Arm® Cortex®-A73 CPU and a multi-TOPS Neural Processing Unit (NPU), facilitating efficient edge AI processing.

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The demonstration utilizes a YOLOv8 model for object detection, specifically trained on a custom dataset to recognize pills. By leveraging Synaptics’ toolkit, the model’s preprocessing is executed directly on the NPU, reducing CPU load and optimizing system performance. This allocation allows the CPU to handle visualization and presentation tasks more effectively.

Integrating natural language processing (NLP) capabilities, such as ChatGPT, into such systems could enhance user interaction by enabling queries about anomaly correlations or failure statistics. This would involve adding another model to the existing ensemble, a feasible extension given the system’s modular design.

Arcturus employs an MLOps framework that facilitates continuous model improvement directly at the edge. This process involves collecting data from the operational device, building new datasets, training updated models, and comparing their performance against existing ones. Successful models can then be deployed in real-time, ensuring the system adapts to evolving operational conditions.

The application of AI in industrial inspection is poised to enhance analysis capabilities significantly. By deploying cost-effective models on efficient hardware like the SL1680, industries can achieve substantial improvements in inspection accuracy and speed. This advancement represents a shift from legacy algorithms to more sophisticated AI-driven solutions.

Arcturus is actively engaged in multiple AI projects, with approximately six initiatives currently underway. The rapid pace of AI innovation presents both challenges and opportunities, and the team is enthusiastic about exploring new use cases, particularly in edge computing environments.

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At Embedded World 2025, Forlinx Embedded presented their extensive portfolio of system-on-modules (SoMs) and single board computers (SBCs), designed to streamline client projects across various industries, including industrial automation, electronics, and medical equipment. Their range includes solutions based on prominent architectures like RISC-V, ARM, and products powered by key semiconductor partners such as NXP, Texas Instruments, and Rockchip. More details on their portfolio are available at [https://www.forlinx.net].

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One of the highlights from Forlinx Embedded at the show was the introduction of their RISC-V-based System-on-Module, reflecting a growing industry trend toward open-source hardware architectures. By leveraging RISC-V, Forlinx provides developers flexibility and efficient integration paths for applications demanding customization and low-power performance.

A major spotlight at their booth was the FET-MX9352-C SoM, powered by NXP’s latest i.MX93 processor. This module incorporates a dual-core ARM Cortex-A55 processor alongside a Cortex-M33 coprocessor, effectively targeting real-time processing tasks and energy-sensitive applications. The module is optimized for diverse sectors including medical, industrial automation, and smart electronics, showcasing versatility and broad application scope.

Forlinx highlighted their long-standing relationship with NXP Semiconductors, noting their position as China’s largest distributor of NXP’s ARM-based solutions. This partnership has enabled them to develop widely adopted products, with extensive deployments in sectors that require reliability and performance, such as industrial automation, healthcare, and automotive markets.

Additionally, Forlinx presented modules based on Rockchip processors, notably featuring the RK3588 SoM. This SoM integrates an octa-core CPU comprising four Cortex-A76 and four Cortex-A55 cores, providing robust performance capabilities suitable for AI-driven applications and multimedia processing. With up to 16GB LPDDR4x RAM and comprehensive support for Linux and Android, it meets the needs of sophisticated edge computing scenarios.

The company also discussed their involvement with Texas Instruments, highlighting the enduring popularity of TI’s platforms within the electronics sector. By integrating TI’s robust and proven technologies, Forlinx ensures that their SoMs can be readily adopted in critical embedded solutions, particularly in the industrial and electronics markets, benefiting from TI’s established ecosystem and broad compatibility.

Forlinx employs a modular approach in their products, aiming to significantly reduce development complexity for their customers. Their commitment to providing compact form-factor solutions was evident in the demonstration of smaller, highly integrated boards, allowing developers greater versatility in design and deployment for compact embedded systems.

Forlinx Embedded’s presence at Embedded World 2025 demonstrated their strategic focus on collaboration, robust technology platforms, and the importance of adaptability in the embedded technology landscape. Through consistent partnerships and technical expertise, they continue to facilitate efficient and scalable development across numerous industrial applications.

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Renesas presented its latest developments in industrial automation at Embedded World 2025, highlighting the capabilities of its new PROFINET SDK tailored for RZ/T2M and RZ/N2L microprocessors. The PROFINET SDK, now available for download on Renesas’ official website https://www.renesas.com enables both PROFINET RT and IRT communication, vital for real-time industrial automation tasks. This demo prominently featured the integration of Renesas’ hardware with Siemens PLC controllers, demonstrating high-performance, deterministic industrial networking capabilities.

The RZ/T2M, specifically designed for industrial Ethernet applications, features a dual-core architecture, where one core manages communication, and the second oversees real-time operations, such as motor control. In contrast, the RZ/N2L serves as a compact single-core alternative optimized for applications requiring efficient I/O integration and master-device communication. It excels as an IO-Link master, seamlessly communicating with sensors and actuators and managing data flow within industrial networks.

In this Embedded World demonstration, Renesas exhibited the combined functionality of the RZ/N2L as an IO-Link master, connecting sensors and actuators efficiently to the central PLC via IO-Link and PROFINET protocols. The showcased quad-channel IO-Link master solution was complemented by software solutions from partner TMG, emphasizing seamless integration with existing industrial systems.

Renesas also demonstrated real-time Linux capabilities on the RZ/T2M device, highlighting its ability to run CODESYS PLC software on a Linux RT environment. This setup showcased practical use in industrial network applications, emphasizing flexibility and compatibility with real-world automation scenarios.

The demo featured various sensor-related applications, including sensor signal conditioning ICs and MCU-based solutions communicating over IO-Link. These sensors facilitated analog signal processing, digital IO, and real-time transmission of data to the central control unit, providing a comprehensive representation of the end-to-end capabilities in Renesas’ portfolio.

Additionally, Renesas displayed several practical applications, such as a real-time sensor evaluation setup that counted sensor events, visibly displayed on an integrated HMI interface. The hardware and software ecosystem presented ensured accurate signal conditioning and robust performance, which are essential requirements in industrial automation environments.

A significant advantage highlighted at Embedded World 2025 was Renesas’ capability to deliver the lowest cycle times within PROFINET’s IRT communication, positioning their solutions competitively for demanding industrial environments like servo drives and automated control systems.

Overall, the Renesas demonstration at Embedded World 2025 underscored their comprehensive ecosystem approach, providing tailored software, robust hardware, and partner-supported integrations essential for modern industrial automation projects.

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At Embedded World 2025, NXP Semiconductors showcased a diverse array of technologies, emphasizing advancements in automotive, industrial, and smart home domains. A prominent feature of their booth was the NXP Partner Wall, displaying 28 ecosystem partners’ application-specific demonstrations across sectors like automotive and industrial. Notably, some demos integrated multiple partners, highlighting collaborative solutions in wireless connectivity and sensor integration.​

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In the ‘Brighter Places’ section, NXP presented innovations targeting building automation. A key demonstration featured building control systems managing valve operations within commercial infrastructures, underscoring NXP’s commitment to enhancing energy efficiency and operational control in modern buildings.​

The ‘Brighter Journeys’ area focused on automotive technologies. Central to this was the introduction of the S32K5 microcontroller unit (MCU), designed to support scalable vehicle architectures. The S32K5, built on a 16nm FinFET process, features Arm Cortex CPU cores running up to 800 MHz and offers power-efficient application performance. It includes optimized accelerators for network translation, security, and digital signal processing, along with an integrated Ethernet switch core, enhancing networking solutions and software reuse. ​

Another automotive highlight was the ultra-wideband (UWB) technology demonstration. Beyond enabling keyless car access, UWB facilitates applications like presence detection, child occupancy sensing, and replacing traditional kick sensors for trunk access. Its capability to detect breathing patterns also addresses safety concerns, such as identifying unattended animals in vehicles.​

NXP also showcased a digital connected cluster tailored for two-wheelers, emphasizing the evolution of motorcycle dashboards into comprehensive information centers. Collaborating with the Fraunhofer Institute, NXP introduced an infotainment system capable of 360-degree sound detection. This system alerts drivers to specific sounds, like bicycle bells, enhancing situational awareness and safety.​

In the ‘Brighter Lives’ segment, NXP addressed smart home innovations. A notable exhibit was the AI-enhanced healthcare demo, featuring a home controller interfacing with smart devices to monitor health metrics. Capabilities include fall detection and vital sign monitoring through wearable technology, enabling real-time alerts to authorities and healthcare providers in emergencies.​
nxp.com

Additionally, NXP highlighted a monitoring dashboard designed for home environments, providing users with comprehensive insights into their household systems. This aligns with the growing trend of integrating intelligent monitoring solutions to enhance home safety and efficiency.​

Overall, NXP’s presence at Embedded World 2025 underscored their dedication to advancing technologies across various sectors, focusing on safety, efficiency, and enhanced user experiences.​

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At Embedded World 2025 in Nürnberg, Hailo presented its latest advancements in AI processing, focusing on the Hailo-15 AI Vision Processors. citeturn0search0 These processors are designed to enhance edge devices with robust AI capabilities, enabling real-time data processing directly on the device.

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One notable demonstration featured the integration of the Hailo-15 processor into drones developed in collaboration with System Electronics. These drones showcased advanced object and face detection capabilities, emphasizing the processor’s high performance and low power consumption—critical factors for extending battery life in aerial applications.

Another highlight was the NG Cam smart camera, equipped with the Hailo-15 processor. This device demonstrated the ability to perform zero-shot learning using the CLIP model, allowing it to recognize and describe objects without prior specific training. For instance, the camera could identify a person wearing glasses by processing the input text “man with glasses,” showcasing the versatility of AI applications in real-world scenarios.

In partnership with SolidRun, Hailo introduced a System on Module (SoM) featuring the Hailo-15H processor. This compact module delivers up to 20 TOPS (Tera Operations Per Second) and supports high-resolution imaging, including 4K video at 60 frames per second. Its robust design ensures reliable operation across various industrial environments, making it suitable for applications in security, industrial automation, and smart cities.

The Hailo-15 processor also enhances image quality through AI-driven features such as low-light denoising and high dynamic range (HDR) processing. Demonstrations highlighted the processor’s ability to improve image clarity in low-light conditions and manage high-contrast scenes effectively, ensuring that subsequent analytics, like optical character recognition (OCR), yield more accurate results.

Hailo’s commitment to edge AI extends to the automotive sector. At CES 2025, they showcased integrations of their processors in advanced driver-assistance systems (ADAS), utilizing multiple sensor modalities, including cameras, LiDAR, and radar. These integrations aim to enhance vehicle safety and autonomy by enabling real-time perception and decision-making on the edge.

Furthermore, Hailo’s processors are facilitating the deployment of large language models (LLMs) on edge devices. The upcoming Hailo-10 accelerator, expected to be available later this year, is designed to run models like GPT and Stable Diffusion directly on devices, ensuring low-latency performance and enhanced privacy by keeping data processing local.

Through collaborations with various partners, Hailo continues to push the boundaries of AI at the edge, offering scalable and efficient solutions across multiple industries. Their participation in events like Embedded World 2025 underscores their dedication to advancing edge AI technologies.

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Octavo Systems, a leader in System-in-Package (SiP) technology, presented its latest high-density integration solutions at Embedded World 2025 in Nuremberg. Their SiP approach integrates microprocessors, DDR memory, power management, and passive components into a compact BGA package, simplifying PCB design while enhancing performance. By eliminating complex DDR routing and power sequencing, Octavo enables engineers to focus on application innovation. Their products span industries from real-time audio processing to robotics and industrial automation. https://octavosystems.com

One standout demo featured Chaos Audio’s digital multi-effects pedal, leveraging Octavo’s SiP for real-time, ultra-low-latency audio processing. The pedal replaces traditional analog effect chains with a software-driven system, controlled via Bluetooth. Octavo’s integration allowed Chaos Audio to focus on DSP algorithms rather than complex hardware, solving long-standing latency issues in digital audio processing.

Olive Robotics showcased a modular robotics kit powered by Octavo’s OSD32MP1, built around the STMicroelectronics STM32MP1 microprocessor. Running the Robot Operating System (ROS) on Linux, the kit distributes processing across multiple compute nodes, optimizing AI-driven motion tracking. Octavo’s SiP enabled Olive Robotics to cut development time from 18 months to three, drastically accelerating time-to-market.

Octavo introduced the OSD62, integrating the Texas Instruments AM62 quad-core ARM Cortex-A53 with 2GB DDR4 into a single SiP. The result is a 70% PCB space reduction, enabling four-layer designs without complex routing. Similarly, the OSDZU3, based on the AMD (formerly Xilinx) Zynq UltraScale+ MPSoC, consolidates 15 power rails into a single 5V input, simplifying FPGA-based system design. Both SiPs reduce cost and complexity while enabling high-performance computing.

Their commitment to accessibility extends to open-source hardware designs, providing full schematics and PCB layouts. Engineers can integrate SiP technology without dealing with DDR complexity or power sequencing. Octavo’s solutions support everything from rapid prototyping to full-scale production, optimizing thermal performance through advanced die stacking and substrate-level heat dissipation.

One demo highlighted an STMicroelectronics-based SiP running Linux on a zero-layer PCB setup, demonstrating how Octavo’s SiP solutions enable ultra-compact embedded systems with minimal external components. Another featured the integration of Octavo’s SiP in an industrial torque wrench, tracking torque application for manufacturing quality control via IoT connectivity.

Octavo’s roots in Texas Instruments are evident in its leadership, including co-founder Gene Frantz, a pioneer in DSP development. His vision for SiP democratization has positioned Octavo as a key enabler of compact, high-performance embedded computing, making previously impractical form factors achievable.

Their SiP solutions transform embedded design, from AI-driven robotics to real-time audio and industrial automation. Octavo’s presence at Embedded World 2025 underscored the growing demand for compact, high-performance, rapidly deployable systems, further cementing SiP as a crucial technology for next-generation computing.

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At Embedded World 2025 in Nuremberg, Germany, embedUR Systems, a trusted software partner of Synaptics, showcased their expertise in embedded software and Edge AI solutions. citeturn0search4 They presented multiple AI models operating on Synaptics’ AI-native hardware, demonstrating their capability to optimize and deploy AI applications effectively.

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One notable demonstration was the “crowd sensor,” utilizing Synaptics’ privacy sensor and a camera to count individuals in real-time. This setup highlights the potential of integrating AI with sensor technology to achieve accurate crowd monitoring while maintaining privacy.

Adjacent to this, embedUR introduced a contextual language model named the “map guide assistant.” This AI-driven system, running on Synaptics’ SL series board, provided attendees with precise booth locations and event information, showcasing the practical application of natural language processing in navigation and information retrieval.

Further emphasizing their AI capabilities, embedUR demonstrated a personalized experience through Synaptics’ privacy sensor. This system recognizes individuals and adjusts settings, such as preparing a preferred coffee, illustrating the fusion of facial recognition technology with user-centric services.

A significant highlight was embedUR’s early implementation of Synaptics’ SR series MCUs. citeturn0search4 This collaboration underscores embedUR’s commitment to harnessing advanced AI-native platforms to deliver efficient and scalable Edge AI solutions.

Additionally, embedUR presented a secure lockbox demo, employing facial recognition to restrict access. This application demonstrates the potential of integrating AI for enhanced security in everyday devices, ensuring that only authorized users can access sensitive items.

With over two decades in embedded software solutions, embedUR Systems has established itself as a leader in the field. Their participation in Embedded World 2025 reflects their dedication to advancing AI integration in embedded systems, offering services like model fine-tuning, optimization, and sensor integration to accelerate product development.

For more information about embedUR Systems and their offerings, visit their official website: https://embedur.ai

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Synaptics showcased its latest automotive technologies at Embedded World 2025, focusing on driver identification and dual-display processing. Their touch and display driver ICs, along with discrete touch solutions, integrate capacitive sensing to distinguish between driver and passenger interactions. A waveform generator embedded beneath the driver’s seat emits a signal that propagates through the body. When the driver touches the screen, the system recognizes their ID, enabling access to critical functions while restricting distractions like video playback.

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This technology is designed to enhance road safety by preventing drivers from engaging in activities that could cause distractions. For example, while driving, the system disables texting and entertainment apps, ensuring that only essential navigation or vehicle controls remain accessible. Meanwhile, passengers who lack the waveform generator signal can freely interact with the infotainment system without restrictions. This feature offers OEMs and Tier 1 suppliers a streamlined way to comply with safety regulations and improve user experience.

The integration process is straightforward, as the waveform generator operates within a ±5% frequency tolerance, making it adaptable across different vehicle designs. It remains functional regardless of a person’s clothing or body size, ensuring consistent identification accuracy. Synaptics promotes this technology for next-generation vehicle models, collaborating with leading car manufacturers to implement it in upcoming designs.

Beyond driver detection, Synaptics introduced its SmartBridge technology, which enables efficient multi-display management in vehicles. The SmartBridge chip supports DisplayPort MST (Multi-Stream Transport), allowing a single video cable to drive two independent displays. This reduces complexity and cost by eliminating extra video cables, control units, and additional processing hardware.

SmartBridge’s integrated local dimming enhances display contrast, bringing LCD screens closer to OLED-level black performance. By dynamically adjusting backlight zones, this feature improves visibility in bright conditions, reducing eye strain and keeping drivers more focused on the road. The resulting sharpness and clarity contribute to a safer and more immersive driving experience.

Energy efficiency is another key advantage of Synaptics’ local dimming technology. By selectively reducing backlight intensity in dark areas, it significantly lowers power consumption. Tests demonstrate that enabling local dimming can cut display power usage by up to 50%, which is especially beneficial for electric vehicles, helping to extend driving range by conserving battery energy.

Synaptics is actively working with automotive display manufacturers across Europe, Asia, and North America to integrate these solutions into future vehicles. Given the typical automotive development cycle, it takes approximately two to three years from initial integration to commercial deployment. With the increasing demand for advanced cockpit features in electric and self-driving cars, such innovations are becoming essential.

By combining driver identification, multi-display efficiency, and power-saving enhancements, Synaptics is positioning itself at the forefront of automotive HMI (Human-Machine Interface) development. These technologies will shape the next generation of smart vehicles, ensuring both safety and a high-performance user experience.

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At Embedded World 2025, NXP showcased the integration of the DeepSeek R1 8B model with its i.MX 8M Plus application processor, augmented by Kinara’s Ara-2 neural processing unit (NPU). This configuration exemplifies the synergy between NXP’s processing capabilities and Kinara’s specialized AI acceleration.

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DeepSeek R1 is an open-source reasoning model designed to emulate human-like cognitive processes. Before providing responses, it undergoes iterative self-assessment to ensure accuracy and reliability. When queried about appropriate actions following a car accident, DeepSeek R1 generated a comprehensive, step-by-step guide, reflecting its advanced reasoning capabilities.

The integration of Kinara’s Ara-2 NPU, capable of delivering up to 40 TOPS (Tera Operations Per Second), significantly enhances the system’s AI performance. This hardware acceleration facilitates efficient processing of complex models like DeepSeek R1, enabling rapid and accurate responses to intricate queries.

In another demonstration, NXP presented a multimodal application utilizing the Large Language and Vision Assistant (LAVA) model. This model combines a vision encoder with a large language model (LLM) to analyze and interpret visual data. Operating entirely at the edge, this setup ensures data privacy, low latency, and reduced power consumption.

When tasked with describing a challenging image, the system processed the visual input and, within approximately seven seconds, provided a detailed description. This rapid analysis underscores the efficacy of edge computing in handling complex AI workloads without relying on cloud-based resources.

The system also demonstrated real-time video analysis capabilities. By capturing frames from a live video stream and processing them through the LAVA model, it generated accurate descriptions of dynamic scenes. This functionality has potential applications in security monitoring, event summarization, and automated content generation.

NXP’s recent agreement to acquire Kinara for $307 million underscores its commitment to advancing edge AI technologies. This strategic move aims to enhance NXP’s processing portfolio with Kinara’s high-performance, energy-efficient NPUs, thereby expanding the possibilities for intelligent edge applications across industrial and automotive sectors.

The combination of NXP’s processors and Kinara’s AI acceleration hardware offers a scalable platform for deploying sophisticated AI models at the edge. This integration facilitates the development of intelligent systems capable of real-time data processing, decision-making, and autonomous operation, marking a significant step forward in edge computing.

Industry observers speculate that NXP’s acquisition of Kinara could lead to the development of more energy-efficient and high-performance AI solutions, particularly in the realms of autonomous vehicles and smart industrial applications. This move positions NXP to better compete with other semiconductor companies investing in edge AI capabilities.

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Geniatech’s latest AI-powered industrial ARM box PC integrates the NXP i.MX 8M Plus processor with Kinara’s Ara-2 AI accelerator, offering up to 40 TOPS of AI computing power. This fanless, industrial-grade solution is designed for edge AI applications, providing an alternative to high-cost desktop AI workstations. It supports large AI models with billions of parameters, making it a powerful tool for on-device inference and processing without relying on cloud-based APIs. The device is showcased at Embedded World 2025, emphasizing its capability to run models like DeepSeek and LLaMA while maintaining data privacy. For more details, visit: https://www.geniatech.com/embedded

The system-on-chip (SoC) combines a quad-core ARM Cortex-A53 processor with an additional Cortex-M7 core, ensuring efficient processing for AI workloads. The integrated neural processing unit (NPU) within the i.MX 8M Plus delivers 2.3 TOPS of AI acceleration, while Kinara’s Ara-2 extends this capability to 40 TOPS, significantly boosting inference speed. This setup allows developers to deploy AI applications directly at the edge, reducing latency and operational costs.

With up to 16GB of LPDDR4X RAM for the Kinara Ara-2 AI accelerator and 8GB to 16GB LPDDR4 for the i.MX 8M Plus, the system supports memory-intensive AI tasks. Storage options include 32GB eMMC, expandable to 256GB, ensuring ample space for large AI models and datasets. Video processing capabilities include 1080p60 HEVC, H.265, and VP9 decoding, alongside HDR ISP support for high-quality imaging applications.

The device’s connectivity features include dual Gigabit Ethernet, Wi-Fi, 4G LTE, and GPS support, making it adaptable to various industrial and AI-driven IoT environments. Video output is handled through HDMI and LVDS, with additional interfaces including USB 3.0, RS232, CAN, and MIPI CSI for camera integration. This wide range of I/O options enables deployment in smart surveillance, industrial automation, and other AI-driven edge computing applications.

Unlike traditional AI computing solutions requiring high-end GPUs, Geniatech’s embedded system provides a cost-effective and energy-efficient alternative. With its easy-to-install software and over-the-air update capabilities, the system ensures continuous improvements and access to the latest AI models. The focus on local processing enhances privacy by keeping data on the device rather than relying on cloud services.

As AI adoption continues to grow, Geniatech is actively exploring future developments, including support for larger AI models, potentially reaching 32 billion parameters. This commitment to scalability positions the company as a key player in industrial AI, addressing the increasing demand for edge AI computing solutions.

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At Embedded World 2025, Geniatech unveiled a groundbreaking 31.5-inch ePaper display, marking a significant advancement in ePaper technology. This large-format display integrates a specialized algorithm to enable smooth motion and fast refresh rates, making it one of the first ePaper screens capable of displaying video content. The development of this technology has been highly anticipated for decades, as traditional ePaper has struggled with slow refresh rates. Now, with Geniatech’s innovation, dynamic content can be displayed with impressive clarity and fluidity. https://www.geniatech.com/epaper-digital-signage/

One of the standout features of this display is its ability to render partial refreshes, allowing for rapid content updates without requiring a full-screen refresh. This makes it ideal for applications such as digital signage, public information displays, and outdoor advertising, where frequent updates are needed. The technology behind this display leverages FPGA-based processing to optimize refresh performance, overcoming the limitations of conventional ePaper solutions.

The reflective nature of ePaper ensures excellent visibility in various lighting conditions, including direct sunlight, making it particularly suitable for outdoor applications. Unlike traditional LCD or OLED screens, which rely on backlighting, this display utilizes ambient light to create high-contrast images, ensuring readability while reducing power consumption. This ultra-low power requirement makes it a strong candidate for energy-efficient digital signage solutions.

Geniatech’s approach to ePaper also focuses on sustainability. With minimal energy use and a display design engineered for longevity, it aligns with industry efforts to reduce electronic waste and power consumption. Businesses looking to implement digital signage with lower environmental impact will find this solution appealing, as it offers both performance and efficiency without compromising on readability.

The sharpness and responsiveness of this display make it particularly effective in scenarios where static and motion content need to coexist. For example, retail environments can use it for dynamic pricing updates, real-time promotional content, and interactive wayfinding displays. Similarly, transportation hubs could deploy it for up-to-date scheduling and route information.

Geniatech anticipates that this 31.2-inch ePaper display will enter mass production within the next two months. The combination of video playback capability, energy efficiency, and outdoor readability positions it as a transformative solution for businesses and organizations seeking innovative display technologies. As more industries explore ePaper for dynamic content, this breakthrough could reshape the landscape of digital signage.

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At Embedded World 2025, RT-RK showcased their innovative mARTini platform, designed to enable Android applications to operate seamlessly within a Linux environment. This demonstration utilized Synaptics’ Astra SL1680 embedded processor, highlighting the collaborative efforts between RT-RK and Synaptics to integrate and optimize solutions for advanced system-on-chip architectures.

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The mARTini solution leverages lightweight LXC containers to run a customized Android image atop Synaptics’ Linux-based system. This configuration allows for the execution of native Android applications within a Linux framework, facilitating interaction between Linux and Android applications side by side. For instance, applications like Netflix can run with full security and copyright compliance, demonstrating mARTini’s robust support for media streaming services.

The integration of Android applications into Linux systems addresses the challenge of implementing user-friendly interfaces in embedded environments. Android’s extensive ecosystem offers a plethora of pre-built applications, simplifying the development process compared to creating custom Linux interfaces. This hybrid approach combines Android’s rich user interface capabilities with Linux’s strengths in handling embedded functionalities, such as accessing GPIO ports and interfacing with various drivers.

In automotive contexts, mARTini provides a pathway to incorporate Android applications without overhauling existing Linux-based infotainment systems. This is particularly advantageous for integrating popular applications like Spotify or messaging services, where a full Android operating system may be unnecessary. By utilizing a containerized approach, mARTini allows for dynamic resource allocation, optimizing CPU and memory usage without the rigid partitioning required by hypervisor-based solutions.

The Astra SL1680 platform’s open-source approach facilitated the seamless integration of mARTini, enabling efficient graphics acceleration and resource management. This synergy ensures that both Linux and Android applications perform optimally, sharing hardware resources effectively. RT-RK’s collaboration with Synaptics underscores their commitment to delivering versatile solutions that cater to the evolving needs of embedded systems across various industries.

RT-RK’s extensive experience in embedded systems, spanning hardware development, FPGA design, and multimedia systems, positions them as a key player in the integration of complex software solutions. Their approach of combining academic insights with industrial applications fosters a culture of continuous learning and innovation, ensuring that their solutions remain at the forefront of technological advancements.

By enabling the execution of Android applications within a Linux runtime environment, mARTini offers a flexible and efficient solution for industries seeking to enhance their systems with rich user interfaces and a vast array of applications. This capability is particularly relevant in sectors like automotive infotainment, where user expectations for seamless integration of familiar applications continue to rise.

The demonstration at Embedded World 2025 highlighted mARTini’s potential to transform embedded systems by bridging the gap between Linux’s robustness and Android’s extensive application ecosystem. This integration not only streamlines development processes but also enriches the end-user experience by providing access to a wide range of applications within a stable and efficient environment.

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David from Arcturus introduces the capabilities of the EDI and Edge analytics software stack running on the Synaptics SL1680 SoM module designed specifically for smart camera applications. The board, leveraging Synaptics’ SL1680 SoM, supports direct HDMI connectivity, USB cameras, and optional MIPI camera interfaces, providing a fully autonomous solution for edge computing without external network dependency. More details on Arcturus technology are available at https://www.arcturusnetworks.com.

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The SL1680 hardware showcased is specifically engineered for security and smart-camera applications, integrating powerful analytics at the edge. It supports multiple camera inputs, enabling real-time processing of video data for scenarios involving safety monitoring, intrusion detection, and behavior analytics. The onboard software leverages a comprehensive dashboard accessible directly via HDMI, displaying detected events clearly.

Arcturus demonstrates edge computing capabilities through event-driven analytics (EDI), which includes detecting loitering, entry into restricted areas, and irregular movement patterns. Users can interactively click on logged events to playback recorded footage, simplifying forensic review and making event analysis intuitive. This embedded analytic solution can effectively manage safety and security use cases for various industrial or residential environments.

An additional showcase highlights the Synaptics SL1680’s multi-channel capability, managing four simultaneous video streams. This demonstrates the hardware’s capacity to handle multiple concurrent analytical tasks effectively, proving suitable for complex environments requiring real-time multi-camera analysis. The robust hardware architecture efficiently handles video streams while maintaining low latency and power consumption.

The software stack presented by Arcturus extensively uses open-source foundations, ensuring flexibility and ease of integration. While the core components are open-source, Arcturus provides optimized proprietary extensions and customizations, significantly enhancing scalability and usability. Developers benefit from easily accessible open-source resources, enabling efficient customization to specific use cases.

A major feature introduced at Embedded World 2025 is the integration of native Chromium-based web dashboard support directly on the SL1680 module. This enables immediate visual interaction with analytics data without external dependencies or additional hardware. With USB peripherals and a standalone HDMI display, operators gain comprehensive local management capability, simplifying installations and maintenance.

David outlines two primary use cases for the SL1680 hardware: compact, low-power cameras ideal for embedded scenarios, and slightly more powerful edge analytics or home security hubs. This flexibility emphasizes the adaptability of the SL1680 architecture, capable of scaling between simple, battery-powered applications and more demanding, multifunctional analytics environments.

Highlighting the standalone capability of the solution, Arcturus demonstrates how the combination of hardware and integrated analytics requires no external connectivity. By maintaining a completely self-contained operation using USB cameras, an HDMI monitor, and local input devices, this configuration is optimized for secure, isolated deployments where external network connections are limited or unavailable.

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Micro Crystal AG, a subsidiary of the Swatch Group, showcased its latest innovation at Embedded World 2025: the RV-3028-C8 Real-Time Clock (RTC) module. This ultra-compact module measures just 2.0 x 1.2 x 0.6 mm, making it the smallest RTC module currently available. Designed for applications with stringent space constraints, such as wearables, IoT devices, medical equipment, and automotive electronics, the RV-3028-C8 integrates a dedicated CMOS RTC chip with a micro-sized quartz crystal within a hermetically sealed ceramic package. citeturn0search15

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One of the standout features of the RV-3028-C8 is its ultra-low power consumption, operating at just 70 nA during timekeeping. This efficiency enables extended battery life or the use of smaller batteries, which is crucial for portable and wearable technologies. The module supports an operating voltage range from 1.1 V to 5.5 V and maintains a time accuracy of ±1 ppm at 25°C. Additional functionalities include time-stamping, alarms, timers, and an I²C interface operating at up to 400 kHz. citeturn0search11

In addition to the RV-3028-C8, Micro Crystal offers a comprehensive portfolio of timing solutions, including kHz oscillators, MHz quartz crystals, and temperature sensor modules. These products cater to a wide range of applications, from industrial automation to healthcare devices. The company’s expertise in miniaturization and low-power design positions it well to meet the evolving demands of the embedded systems market. citeturn0search10

At Embedded World 2025, Micro Crystal shared its exhibition space with sister companies Renata SA and EM Microelectronic, both part of the Swatch Group’s Electronic Systems division. Renata specializes in the production of primary and secondary microbatteries, offering solutions that complement Micro Crystal’s low-power modules. EM Microelectronic focuses on the design and manufacturing of ultra-low-power integrated circuits, further enhancing the group’s comprehensive offerings for embedded applications. citeturn0search12

The integration of these technologies underscores the Swatch Group’s commitment to providing holistic solutions for the embedded industry. By combining expertise in timing modules, battery technology, and integrated circuits, the group addresses the growing need for compact, energy-efficient components in modern electronic devices.

Micro Crystal’s participation in Embedded World 2025 highlights its dedication to advancing RTC technology. The company’s innovations not only meet current industry standards but also anticipate future trends in miniaturization and power efficiency. As the demand for smaller, more efficient electronic components continues to rise, Micro Crystal’s contributions are set to play a pivotal role in shaping the future of embedded systems.

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Synaptics has introduced the SL1620 System on Module (SoM), a compact solution designed to enhance audio streaming capabilities across multiple devices. This module facilitates synchronized audio transmission via Bluetooth Low Energy (LE) to multiple speakers, enabling users to set up cost-effective, interconnected audio systems without relying on traditional Wi-Fi networks.

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At the core of this technology is the SL1620 processor, optimized for embedded applications requiring robust processing and advanced AI capabilities. It features a quad-core Arm Cortex-A55 CPU subsystem, a high-efficiency GPU for advanced graphics and AI acceleration, and superior audio processing capabilities. The SL1620 supports Linux OS, offers a variety of peripherals, and accommodates dual displays, making it versatile for various IoT applications. citeturn0search0

In collaboration with partners like HAK, Synaptics has integrated the SL1620 with their Wi-Fi chipset to create a modular solution for synchronized audio streaming. This partnership has yielded a toolkit that allows developers to experiment with and implement synchronized audio across multiple Bluetooth LE-enabled devices. The system’s architecture includes a master device that manages synchronization, ensuring that audio playback remains in harmony across all connected speakers.

One of the significant advantages of this setup is its ability to operate independently of Wi-Fi networks. By utilizing Bluetooth LE for audio transmission, the system reduces potential network congestion and interference, providing a more stable and reliable audio streaming experience. This approach also simplifies the setup process, as it eliminates the need for complex network configurations.

The flexibility of the SL1620 SoM allows for various applications, from multi-room audio setups to customized home entertainment systems. Users can place speakers in different rooms, creating a seamless audio experience throughout their living spaces. The system’s scalability means that, theoretically, a large number of speakers can be synchronized, limited primarily by the capabilities of the Bluetooth LE standard and the specific implementation.

For developers and manufacturers, the SL1620 provides a platform to innovate and create new audio products that leverage synchronized Bluetooth LE streaming. Its integration capabilities and support for advanced audio algorithms make it suitable for a wide range of consumer and industrial applications. The module’s design also facilitates easy customization, allowing for tailored solutions that meet specific market needs.

In summary, Synaptics’ SL1620 System on Module represents a significant advancement in synchronized audio streaming technology. By harnessing the power of Bluetooth LE and robust processing capabilities, it offers a versatile and efficient solution for delivering high-quality, synchronized audio across multiple devices without the complexities associated with traditional network-based systems.

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Renesas has unveiled the RA4L1, a 32-bit microcontroller (MCU) based on the Arm Cortex-M33 core, targeting energy-efficient applications with advanced security. Operating at 80 MHz, it balances high performance with ultra-low power consumption, drawing only 168 µA/MHz in active mode and as little as 1.65 µA in standby. Designed for IoT, metering, and industrial applications, the RA4L1 integrates TrustZone security, flexible communication interfaces, and a capacitive touch controller. For more information, visit https://www.renesas.com/

At Embedded World 2025, Renesas demonstrated real-world use cases for the RA4L1, highlighting its role in smart locks, where both low power consumption and security are essential. As cybersecurity regulations tighten, embedded devices require robust protection against unauthorized access. The RA4L1’s dedicated security engine provides a hardware root of trust (RoT), a true random number generator (TRNG), and cryptographic acceleration for AES and ECC, ensuring secure key storage and encrypted communication. These features allow secure OTA updates and identity verification, making it suitable for applications such as hotel locks, where battery life and security are critical concerns.

With dual-bank 512 KB flash memory, 64 KB SRAM, and 8 KB data flash, the RA4L1 supports over-the-air firmware updates and fast boot capabilities. Its ability to wake from standby with an NFC trigger at just 1.6 µA ensures efficient power management. The MCU’s extensive peripheral integration includes USB 2.0 full-speed, CAN FD, multiple serial interfaces (UART, I²C, I³C, SPI, QSPI), and a segment LCD controller. The combination of hardware-accelerated cryptography and energy efficiency allows seamless deployment in security-focused IoT applications.

The RA4L1 also features a capacitive touch sensing unit (CTSU) with up to 12 channels, supporting both mutual and self-capacitance modes. In a demonstration, Renesas showcased how capacitive touch buttons can serve as ultra-low-power wake-up switches, allowing systems to remain in deep sleep until a user initiates contact. These touch sensors, combined with an LCD interface, enable interactive, low-power HMIs for consumer and industrial devices.

A key strength of the RA4L1 is its event-driven architecture, which allows peripherals to operate independently of the CPU. The device’s direct memory access controller (DMAC) and data transfer controller (DTC) handle tasks such as sensor data acquisition, serial communication, and ADC triggering without waking the core, significantly reducing power consumption. This makes the MCU ideal for energy-sensitive applications such as water and gas meters, where it can process wheel rotation via an optical sensor without engaging the CPU, thereby extending battery life.

Renesas also demonstrated the RA4L1’s suitability for metering applications, where precise and low-power sensing is essential. Using an infrared sensor and integrated timers, the MCU can track a water meter’s wheel rotation, measuring both position and speed without frequent processor intervention. This reduces power usage while maintaining high accuracy in real-time data acquisition. The ability to integrate various sensor inputs and process them in low-power modes makes the RA4L1 a competitive choice for smart metering and industrial monitoring.

To streamline development, Renesas provides the Flexible Software Package (FSP), which includes pre-configured drivers, middleware, and security libraries optimized for the RA4L1. Developers can leverage these tools for rapid prototyping, reducing time-to-market for secure embedded systems. The FSP ecosystem supports secure key provisioning, cryptographic operations, and peripheral control, enabling seamless integration with existing IoT platforms.

Now in mass production, the RA4L1 is expected to gain strong traction in Europe and other global markets, where Renesas has already seen significant adoption of its previous-generation MCUs. With a well-balanced combination of low power, advanced security, and flexible connectivity, the RA4L1 is positioned as a robust solution for battery-powered industrial, consumer, and IoT applications.

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Foundries.io is showcasing its Qualcomm Dragonwings demo at Embedded World 2025, highlighting advancements in open-source development, IoT device management, and AI workloads. Dragonwings represents Qualcomm’s latest branding for its IoT, automotive, and industrial processors, aiming to expand beyond mobile markets. One of the standout demonstrations features the HP OmniBook X, powered by the Snapdragon X Elite processor, running a locally trained large language model. This model, based on Foundries.io’s documentation, operates entirely on the device’s neural processing unit (NPU), showcasing Qualcomm’s edge AI capabilities. More importantly, Foundries.io remains at the core of device management, enabling secure updates and AI deployment across Qualcomm’s platforms. Learn more at https://foundries.io.

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Synaptics is my Embedded World 2025 video sponsor, check out my Synaptics videos here: https://www.youtube.com/playlist?list=PL7xXqJFxvYvhAbQoe9YN4c84SqXxIY3fQ
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A major breakthrough at Embedded World 2025 is Qualcomm’s commitment to open development. The company is now upstreaming its software directly on GitHub, accepting third-party contributions for the first time. This includes the RB3 Gen 2 platform running the 416 RC5 kernel without proprietary patches, making it a fully open-source Linux system. The platform supports Debian and Yocto builds, with source code available for developers to modify and contribute. Qualcomm is also ensuring broad support for its upcoming processors, reinforcing its commitment to the open-source ecosystem.

Another key demonstration focuses on Foundries.io’s integration with Qualcomm’s AI ecosystem, specifically with Edge Impulse, which Qualcomm recently acquired. Using the Foundries.io platform, developers can seamlessly create, train, and deploy AI models for edge applications. The RB3 Gen 2 board, running Qualcomm Linux Release 1.3, features an Edge Impulse IMDK AI app that processes high-speed camera feeds and applies AI-driven object detection. This marks a shift towards democratizing AI deployment on embedded systems, reducing barriers to entry for developers.

The Snapdragon X Elite processor is gaining traction within the Linux community, with Canonical leading efforts to ensure robust Ubuntu support. Multiple X Elite-powered laptops, including models from Lenovo, HP, and Microsoft, are receiving dedicated optimizations. The installation process includes GRUB bootloader support, allowing dual-boot configurations with Windows. Currently, Wi-Fi, touchscreen, and graphics acceleration work smoothly, with upcoming patches expected to enable audio and camera support. This is a crucial step toward making ARM-based laptops competitive with traditional x86 systems.

Dragonwings is also pushing the boundaries of edge AI processing with the IQ9 series, particularly the 9075 model, which features dual NPUs for enhanced inference capabilities. These processors cater to demanding AI workloads, including real-time video analysis for industrial and security applications. Qualcomm’s focus on upstreaming its AI frameworks ensures that developers can build robust solutions without relying on vendor-specific toolchains. The goal is to provide long-term software support while maximizing hardware capabilities.

Qualcomm’s deep involvement in AI is evident through its recent optimizations for deep learning models on Snapdragon hardware. While some aspects remain proprietary, Snapdragon X Elite laptops have demonstrated exceptional AI performance, making them viable alternatives to traditional AI accelerators. Edge Impulse’s integration into Foundries.io’s platform further simplifies AI deployment, enabling seamless model quantization and optimization for embedded environments. This move is expected to accelerate AI adoption across various industries.

Developers interested in robotics will find Qualcomm’s Dragonwings ecosystem particularly appealing. The RB3 Gen 2 platform is designed for autonomous applications, including humanoid robots and edge AI processing. Qualcomm also offers a fully open-source ROS stack, available on GitHub, to streamline robotics development. The company aims to make these developer-friendly boards more accessible, addressing past availability challenges. This openness could lead to a surge in robotic applications powered by Qualcomm hardware.

Foundries.io’s growth within Qualcomm highlights the increasing importance of open-source solutions for secure device management. Originally a Linaro spinoff, Foundries.io continues to support open-source initiatives while expanding its role within Qualcomm. The company’s focus on upstreaming software ensures long-term support without reliance on vendor-specific BSPs. By aligning with Qualcomm’s open-source strategy, Foundries.io is positioning itself as a key player in secure edge computing and embedded Linux development.

all my #ew25 videos https://www.youtube.com/playlist?list=PL7xXqJFxvYvjgUpdNMBkGzEWU6YVxR8Ga