Riyoh Electro, which has led the development of visual computing solutions and provided them to the market in collaboration with many partners, and NVIDIA will host an online live broadcast from November 24 (Wednesday) to 26 (Friday), 2021, inviting industry experts to share the latest trends, technologies, and solutions through lectures and panel discussions. On DAY 1, the Edge Computing DAY, our representative Kiuchi will take the stage. Don't miss the presentation titled "Introduction to Robotics Solutions Utilizing NVIDIA Jetson-based Products and ROS"!

● ADLINK's EGX-MXM-A1000, EGX-MXM-A2000, and EGX-MXM-A4500 are the first modules to adopt NVIDIA's embedded GPU based on the NVIDIA Ampere architecture. ● ADLINK's MXM graphics modules provide high-performance GPU acceleration in a compact and power-efficient MXM form factor, bringing edge computing and embedded AI to many vertical markets such as healthcare, manufacturing, and transportation. ● Robust design that withstands harsh temperature environments, shock, vibration, and corrosion under severe conditions.

●ADLINK's compact and rugged AI-enabled AVA-RAGX is built on the latest industrial version of the NVIDIA Jetson AGX Xavier module with 32 TOPS, providing reliability and performance for railway applications in demanding and harsh operating environments. ●AVA-RAGX expands ADLINK's portfolio of EN 50155 compliant AVA platforms, offering railway solution providers the flexibility to choose the optimal configuration for digital transformation. ●ADLINK continues its "Elite" partnership with NVIDIA to leverage the power of infrastructure edge AI to build advanced railway solutions.

ADLINK is working with its ecosystem partners Askey, the Taiwan Industrial Technology Research Institute (III), and EOI to develop and deploy an integrated C-V2X (Cellular Vehicle to Everything) solution that significantly improves traffic safety and efficiency. This collaboration leverages ADLINK's deep expertise in the development and deployment of AI-enabled onboard computers, 5G private networks, 5G edge servers, and intelligent edge infrastructure. ADLINK and its partner companies are conducting pilot projects across Taiwan to test various use cases with different implementation methods and application requirements.

ADLINK provides support for AI-focused computing platforms and open-source software for the first autonomous racing car competition, the "Indy Autonomous Challenge (IAC)," where universities from around the world compete for a prize of $1 million at the Indianapolis Motor Speedway. As the official edge computing sponsor of the IAC, ADLINK will supply the AVA-3350 series onboard computing robot controllers to the 10 racing teams that pass the qualifying rounds. Through collaboration with the Autoware Foundation, Boston Dynamics, GAIA Platform, and Kvaser, various interactive demonstrations will be held at the STEM Garage.

Under the theme of "Visualization at the Edge," experts in edge computing combining AI, visualization, and autonomous mobile technology will engage in detailed discussions on smart healthcare, smart transportation, smart manufacturing, and smart enterprise applications. This event aims to create opportunities for cross-disciplinary collaboration, develop total solutions, and co-create ecosystems. We invite you to participate in this opportunity to clarify the most important strategies and explore the infinite possibilities of 5G and AI. (All sessions will be conducted in English with English subtitles.) In four keynote speeches by industry leaders AUO, ADLINK, Intel, and ARM, industry trends, technologies, and future visions will be discussed. More than 20 speeches will delve deeply into technology development, practices, and market opportunities. Don't miss this opportunity. We will showcase products, technologies, and solutions provided by AUO, ADLINK, and over 10 partners, accelerating digital transformation with the latest solutions.

●ADLINK's proprietary 80-core Arm-based COM-HPC server-type module sets a new standard ratio for edge performance and power. With up to 80 ArmV8.2 64-bit cores, a maximum of 2.8GHz, and moderate power requirements at 175W TDP, users can reliably and predictably handle compute-intensive workloads. ●The COM-HPC Ampere Altra complies with Arm SystemReady SR, allowing for immediate support of many standard operating systems, hypervisors, and software. ●ADLINK has built a super-quiet water-cooled tower system called the "AVA Developer Platform," which comes with a default of 32 cores based on the COM-HPC Ampere Altra module and its carrier. The COM-HPC Ampere Altra module is also included in the "AVA-AP1," a high-durability vehicle prototyping platform co-developed by ADLINK, Arm, and Ampere, which features a default of 80 cores.

● The new portal enhances the remote management capabilities of ADLINK's deep learning acceleration platform, the "DLAP-211 series." ● Real-time system information and timely alerts enable immediate response from remote locations. ● Monitoring, alerts, and updates are enhanced by Allxon Device Management Solutions (Allxon DMS).

The ADLINK EVA SDK is an AI (artificial intelligence) edge visual analysis software platform that supports AI models optimized by TensorRT, OpenVINO, and ONNX Runtime, enabling AI developers, AI software companies, and enterprise system integrators (SI) to develop AI vision proofs of concept (PoC) in just two weeks. Since the software platform is pre-installed on ADLINK's AI vision hardware, it facilitates the development of edge AI vision applications with an intuitive GUI and ready-to-use plugins, allowing users to focus on training and integrating AI models. The EVA SDK is a one-API framework that supports open-source plugins for each stage of AI vision projects, including image capture and preprocessing, AI inference, post-processing, and analysis.

Prior to the international ROS developer conference ROSCon 2021, the official local ROSCon event, ROSCon JP 2021, will be held in Tokyo. ROSCon JP 2021 is organized by the general incorporated association ROSCon JP in collaboration with Open Robotics. ROSCon JP 2021 will provide a full day of learning about the latest topics in ROS, offering a great opportunity for all ROS developers, from beginners to experts, to engage with the Japanese ROS community. Participants will be able to hear and learn from various technical talks by experts, as well as discussions that only ROS enthusiasts would know, and exchange ideas with fellow developers. ADLINK will showcase robot controllers and demo units in collaboration with Kudan at the booth corner. We look forward to your participation.

● The 3U VPX module is based on the 11th generation Intel Core i7 processor technology (formerly codenamed Tiger Lake-H), enhancing data and graphics performance as well as artificial intelligence (AI) acceleration capabilities. ● The design compliant with the Sensor Open System Architecture (SOSA) allows for easy reconfiguration and upgrades, providing a cost-effective, rapidly developed and deployed, non-proprietary, and open architecture for embedded computing capabilities. ● Based on the principles of the Module Open System Approach (MOSA), ADLINK actively collaborates with partners to develop custom-made COTS products based on open standards, enabling system integrators in the aerospace and defense sectors to bring products to market quickly.

●ADLINK's Express-TL COM Express Type 6 module is equipped with up to 8-core 11th generation Intel Core, Xeon W, and Celeron 6000 processors, as well as 128 GB of memory. ●The Express-TL is the first COM Express module to support PCI Express Gen 4x16, efficiently providing twice the bandwidth of traditional COM Express modules. ●The Express-TL is designed to operate in harsh temperatures ranging from -40°C to 85°C, making it suitable for continuous use in industrial environments for 24 hours a day over 10 years.

●ADLINK has joined the O-RAN Alliance as a contributor member, promoting technological innovation in 5G radio access networks (RAN) as well as the integration of hardware and software for open interface-driven disaggregated networks. ●Leveraging its successful experience in developing 5G multi-access edge computing (MEC) edge servers, NVIDIA GPU Cloud (NGC)-Ready solutions, AWS IoT Greengrass validated solutions, and Intel IoT RFP Ready Kit (RRK) certified edge solutions, ADLINK contributes to the active expansion of the ecosystem. ●ADLINK will continue its collaboration with other O-RAN members such as SageRAN, Toolsensing, and Arraycomm to develop rapid deployment 5G RAN solutions based on best-of-breed O-RAN compliant white box platforms.

The ultra-compact edge DAQ solution "MCM-216/218" for voltage and current measurement functions as a standalone edge device that does not require a host PC. The MCM-216/218 is based on the ARM Cortex-A9 processor and features built-in 16 or 8 channels of 16-bit analog voltage or current inputs, making it suitable for 24/7 sensor measurement and condition monitoring IIoT applications. The MCM-216/218 supports distributed and remote data acquisition, edge analytics, monitoring control, and data acquisition (SCADA).

● The cPCI-A3525 complies with the latest PICMG CPCI-S.0 CompactPCI Serial Rev. 2.0 standard, providing enhanced performance. ● The robust and SWaP-optimized 3U module is ideal for next-generation mission-critical applications in railway transportation, aerospace and defense, and industrial automation. ● The addition of the cPCI-A3525 to ADLINK's extensive CompactPCI product line demonstrates the company's continued commitment to technology.

ADLINK Japan will exhibit at "NVIDIA AI DAYS," and on DAY 2 at 2 PM, our West Japan Branch Manager, Kazuhiko Oguchi, will take the stage. The adoption of Edge AIoT is progressing, with expectations for improvements in performance, productivity, and efficiency across various fields. To successfully implement Edge AIoT, developers face countless difficult choices regarding hardware, networks, frameworks, and more. Furthermore, executing AI at the edge rather than in the cloud gives new meaning to robustness and presents additional challenges for developers. This session will introduce various case studies for developing Edge AIoT. At the ADLINK booth, you can see optimized heterogeneous computing solutions that can accelerate AI workloads and meet a wide range of embedded requirements based on high performance, long lifecycle, power consumption, and form factor, including Quadro-based embedded MXM modules, edge AI platforms, Jetson-based edge computing, and Xavier-based ROS 2 compatible robot controllers.

The CM5-P1000 is the first COTS PC/104 module to feature the NVIDIA Quadro P1000 GPU. The robust and optimal SWaP solution is ideal for aerospace, defense, and industrial applications. The addition of the CM5-P1000 to ADLINK's PC/104 products clearly demonstrates the company's unwavering commitment to technology.

● The AI smart camera integrates a compact all-in-one device designed for industrial AI inference with an NVIDIA Jetson Xavier NX module. ● The highly integrated format and simple cabling enable high-performance, compact, and low-bandwidth requirements for easily using AI in edge applications. ● With a pre-installed development environment, an intuitive GUI, and a wealth of plugin options are provided, accelerating proof of concept and reducing time to market.

● ADLINK's EGX-MXM-T1000, EGX-MXM-RTX3000, and EGX-MXM-RTX5000 are the first modules to adopt embedded GPUs based on NVIDIA's Turing architecture. ● ADLINK's embedded MXM graphics modules enhance edge computing and embedded AI, accelerating the computing needed for applications constrained by SWaP. ● Embedded graphics modules compliant with the MXM (Mobile PCI Express Module) standard.

●ADLINK offers a full line of EtherCAT solutions, including master and slave modules, at a cost-effective price. ●EtherCAT systems have been proven in test applications to reduce total cost of ownership (TCO) by up to 10% and increase productivity by up to 30%. ●The speed of development and deployment in machine automation and industrial automation, including glass inspection, assembly equipment, lens testing, automatic optical inspection, and dispensing, will be enhanced.

Artificial Intelligence (AI) heralds the arrival of a new era in computing, enabling greater innovation, productivity, and cost reduction. For edge applications where time and safety are critical, such as medical imaging and industrial-grade intelligent video analysis, edge AI solutions can better meet the stringent response times than cloud AI. By attending ADLINK's on-demand session at the NVIDIA GPU Technology Conference (GTC) held online from April 12 (Monday) to April 16 (Friday), 2021, you can learn how to accelerate edge AI development. - You will learn how edge AI is advancing medical and industrial applications. - You will gain insights into overcoming the challenges of edge AI. - You will hear about AI models and tools for video analysis. *Please note that ADLINK's session will be in English.

The SMARC AI on-module LEC-IMX8MP is equipped with NXP's i.MX 8M Plus, which integrates an NPU with a maximum of 2.3 TOPS. It combines NXP NPU, VPU, and GPU computing in a compact size, making it suitable for a wide range of AI-based applications such as industrial IoT, smart homes, and smart cities. ADLINK offers a ready-to-go IoT prototyping platform with the I-Pi SMARC IMX8M Plus, integrating production-grade components and software portability, along with flexibility and upgradability for proof of concepts (PoC) like Raspberry Pi.

ADLINK and Canonical have agreed that ADLINK will be able to provide customers with devices that have Ubuntu Linux, supported by Canonical, installed and licensed. By being certified, it is ensured that patches and the latest versions of Ubuntu Linux are reliably installed on ADLINK's devices, guaranteeing that the devices run the latest operating system and security revisions. Customers will receive a complete and thoroughly validated solution, allowing them to reduce time to market and ensure the security of their IoT solutions.

●By using the MECS-6110 edge server, it becomes easier to develop network function virtualization (NFV) that executes network functions via software on white box uCPE (universal customer premises equipment) by extracting network resources from dedicated hardware. ●The MECS-6110 realizes a universal edge platform that can efficiently provide multiple network services and security features, such as software-defined wide area network (SD-WAN) and next-generation firewall (NGFW), to enterprises of all sizes. ●ADLINK's MECS-6110 edge server offers an open platform certified for Intel Select Solutions for uCPE, enabling communication service providers (CommSP) to quickly enter the market through rigorous pre-deployment testing that verifies system performance.

On March 11th (Thursday) from 3 PM to 5 PM, our company’s West Japan Branch Manager, Kazuhiko Oguchi, will be speaking at the webinar titled "Accelerating the Social Implementation of Medical AI - Proposals for Diversifying Medical Device Solutions," hosted by NVIDIA Corporation. In recent years, the movement to utilize AI (artificial intelligence) and deep learning in the medical field has accelerated, and medical devices equipped with AI have begun to appear on the market. Recently, as part of measures against the COVID-19 pandemic, the development of diagnostic support programs using medical imaging AI has been initiated, and research and development of AI-enabled medical devices are increasingly accelerating, raising great expectations for the advancement of medical technology. We believe that it is important to utilize the latest technologies such as AI to enhance the added value of medical device products and to ensure the quality, safety, and security of healthcare. In this seminar, after an explanation of the current status and future of medical AI and AI diagnostic support (AI-CAD) by Professor Hiroshi Fujita, a leading researcher in medical imaging AI and AI-CAD from Gifu University, we will introduce useful information and the latest updates from ADLINK Japan, Rishiyo Electric Co., Ltd., and NVIDIA Corporation on implementing AI in medical devices.

The ADLINK DLAP x86 series is the most compact GPU-equipped deep learning acceleration platform among commercially available products, enhancing the performance of AI applications in industrial, manufacturing, and healthcare environments. The DLAP x86 series is designed to strengthen compute-intensive AI inference and learning tasks, optimizing SWaP and AI performance at the edge while providing excellent power efficiency and cost performance. Additionally, with a heterogeneous architecture that integrates high-performance CPUs and GPUs in a compact size, along with a design that excels in thermal efficiency, it is ideal for AI applications that require advanced computational performance.

- ADLINK's latest ASM series offers sharp, high-precision image quality and excellent reproduction of high-definition images in color and grayscale, promoting rapid image-guided therapy. - The adoption of a robust and hygienic design that allows for quicker and easier cleaning reduces the time required for disinfection in operating rooms and emergency care environments. - ADLINK's surgical monitors are certified as Class I medical devices based on the European MDD to ensure the safety of patients and operators and facilitate system-level integration.

The latest PXES-2314T from ADLINK is a 4-slot Thunderbolt 3 PXI Express chassis that can be deployed for a wide range of inspection and measurement applications. The compact system structure enhances portability, allowing mobile testing to be performed without sacrificing system bandwidth. Although it has become a low-cost and convenient form factor, the high performance and flexibility of PXI Express remain intact.

The ADLINK MLC-AL/MLC-KL series features a hygienic design that is convenient for cleaning and sterilization, reducing the risk of infection for patients and frontline healthcare workers. The MLC-AL and MLC-KL support a wide range of systems, including mobile X-ray, ventilators, blood and tissue analysis, and vital sign monitoring, helping to streamline patient care. They are equipped with 13.3-inch and 15.6-inch full HD displays that support advanced image reproduction with PCAP multi-touch functionality in a compact housing.

ADLINK invites solution builders to develop a prototype of edge-based machine vision that helps solve real-world problems in horizontal applications such as manufacturing and logistics in collaboration with Intel. Reasons for participating in the 20/20 Vision Hack include the provision of Intel's Neural Compute Stick and ADLINK's Vizi-AI development kit, a prize of $10,000, and support for the winners' market entry. The contest will be held by HackerEarth from December 15, 2020, to March 31, 2021. ADLINK has announced the hosting of the 20/20 Vision Hack in collaboration with Intel. During the hackathon event, solution builders for enterprises will be encouraged to share ideas for prototypes of machine vision using ADLINK's Vizi-AI development kit and Intel's OpenVINO toolkit, addressing the extensive challenges present in industrial environments.