● 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.

ADLINK's NEON-1000-MDX AI Smart Camera series has been recognized for demonstrating innovation in IoT (Internet of Things) products and technologies by winning the 3rd IoT Innovator Award from Compass Intelligence. The NEON-1000-MDX AI Smart Camera integrates ADLINK Edge vision analysis software for industrial machine vision, making it easier to implement AI machine vision applications in new or existing environments. This award is the sixth award received by ADLINK's machine vision edge AI products since 2020. ADLINK Technology has won the 2020 IoT Innovator Award from Compass Intelligence for its NEON-1000-MDX AI Smart Camera series in the field of machine vision technology. The annual 3rd IoT Innovator Award from Compass Intelligence is given to companies that demonstrate outstanding innovations that impact the market and contribute to the advancement of IoT.

- The Indy Autonomous Challenge (IAC) is the world's first race featuring unmanned autonomous vehicles, with participation from universities around the globe. - ADLINK provides robust edge AI devices, technical resources, and technical support required for in-vehicle computing and validation to the university teams participating in the IAC. - Teams will also benefit from ADLINK's open-source software support necessary for ROS-based middleware, including the integration of IAC's vehicle sensor suite and Ansys's VREXPERIENCE simulation into the Eclipse Cyclone DDS middleware, as well as optimizations of ROS2 from Open Robotics. ADLINK Technology has become the official sponsor of the Indy Autonomous Challenge (IAC), which is scheduled to take place on October 23, 2021. The IAC is a competition among universities aiming for a prize pool of $1.5 million over two years, where modified Dallara IL-15 vehicles will be programmed to compete in the world's first high-speed unmanned autonomous vehicle race at the renowned Indianapolis Motor Speedway (IMS).

ADLINK Technology has launched the first octa-core COM Express Type 6 compact module equipped with the new AMD Ryzen V2000 APU, which integrates Radeon graphics (cExpress-AR). With double the core count, the cExpress-AR is ideal for demanding graphic-based applications such as: • Ultrasound image processing • 4K high-speed video encoding and streaming • Embedded gaming and infotainment • AI inference at the edge "The AMD Ryzen V2000 APU features high-performance graphics computing cores, allowing it to be used in AI inference applications without the need for an additional GPU. This is one way the cExpress-AR contributes to overall system cost reduction," commented Alex Wang, ADLINK's COM Express product manager.

We have signed a contract with SageRAN Network Technology to strengthen our partnership in the development of end-to-end 5G open radio access network (RAN) solutions. The partners will establish a joint lab to develop integrated 5G edge solutions based on open architecture for public and private networks, helping telecommunications service providers improve interoperability among vendors, enhance innovation, and achieve continuous cost reduction.

The MECS-7210, equipped with two NVIDIA Tesla V100 Tensor Core GPUs, has been tested for its functionality and performance, making it easy to implement AI frameworks for machine learning and deep learning. "The NCG-Ready certification of the MECS-7210 will help customers across all industries accelerate the deployment of AI-enabled applications at the edge," commented Julian Ye, Director of Networking and Communication at ADLINK. "For example, in telecommunications, customers can leverage AI to evolve various applications from 5G Open RAN to edge data centers, private networks, and MEC. With the benefits of NVIDIA's continuously refined AI frameworks, they can address new opportunities and challenges while ensuring optimal performance, maximum system utility, and excellent ROI."

ADLINK Japan Co., Ltd. will participate in the online "NVIDIA GTC Technology Conference" held from October 5 (Monday) to October 9 (Friday), 2020, with on-demand sessions. In this session, you will hear from ADLINK experts about: • New AI applications at the edge. • Insights into the key requirements for edge AI systems. • How to accelerate the development of edge AI systems. 【Three On-Demand Sessions】 - A presentation by Kazuhiko Oguchi (Branch Manager, Western Japan) on next-generation autonomous mobile robots (AMR). - A presentation by Shirou Kiuchi (Manager, Sales Department, Sales Division 1) on GPU, AI & Medical Imaging. - A presentation by Gen Sato (Manager, Sales Department, Sales Division 2) on Autonomous Vehicle Solutions. ADLINK Japan will showcase the latest AI-based applications, features, and platforms. By registering for the NVIDIA GTC conference, you will be able to watch ADLINK's on-demand sessions. We look forward to your participation.

ADLINK is one of the ten technology leaders that have joined JB5GRI, the first research initiative focused on exploring technologies for the future of 6G beyond 5G. ADLINK provides expertise and technology in distributed infrastructure management and distributed communication, including edge, fog, and multi-access edge computing. In addition to researching multiple virtual AIoT use cases that anticipate results by 2030, JB5GRI submitted a project proposal called KAIROS to the EU's "Horizon 2020" program, referred to as "Smart Connectivity Beyond 5G."

ADLINK Technology has announced the latest NEON-1000-MDX smart camera series along with the Smart Pallet solution. This series integrates the Intel Movidius Myriad X VPU, which supports an interface model optimized for OpenVINOTM, and ADLINK's Edge Vision software that allows for the rapid and easy addition of AI-based machine vision to existing environments. With this all-in-one solution, machine vision engineers and developers can not only quickly build, test, and deploy machine learning (ML) models but also have tools to connect, stream, and automate machine vision tasks for IoT solution teams and system integrators.

ADLINK Japan Co., Ltd. will be exhibiting at the online event "Intel Manufacturing Forum 2020," which will be held from September 28 (Monday) to 29 (Tuesday), 2020, with the theme of "Utilizing Digital Data and Creating New Value." At our exhibition booth, we plan to introduce ROS 2 solutions that can be realized by AI robots. We look forward to your visit to our booth.

ADLINK has been participating in the "Intel AI Park - Online" operated by Intel Corporation since June, and from the second phase starting July 1, our President and CEO, Mikio Hattori, will be speaking at the webinar on July 29 (Wednesday). 【ADLINK Presentation Details】 ◆ Date: July 29 (Wednesday) ◆ Time: 14:00 - 14:30 ◆ Presentation Title: Efforts Towards Next-Generation Autonomous Mobile Robots (AMR) ◆ Speaker: Mikio Hattori, President and CEO of ADLINK Japan Co., Ltd. ◆ Overview In this presentation, we will introduce the ROS controller for next-generation Autonomous Mobile Robots (AMR). The ROS controller, ROScube-i, has obtained various environmental resistance tests specifically for AMRs, incorporates the latest ROS2 in its control software, and meets the functional requirements necessary for AMRs by being equipped with a high-performance COREi. Developers working on AMR can significantly shorten their development period and enable market entry for AMRs by using ROScube-i in software development and system testing.

ADLINK Technology has released the latest AI-enabled smart camera series, NEON-2000-JT2, which facilitates the deployment of machine vision in AI-based factory automation. This new series of smart cameras, equipped with NVIDIA's Jetson TX2 AI module, features an all-in-one design and a compact footprint, with a vision software set pre-installed, reducing the complexity of developing and integrating AI machine vision. With the NEON-2000-JT2, production efficiency can be improved in labor-intensive manufacturing industries where quality assurance and inspection are essential, such as food and beverage, consumer packaged goods (CPG), and agriculture. One customer has implemented ADLINK's AI machine vision solution for product inspection, achieving over 95% accuracy while inspecting more than 50 times the number of products compared to before. ADLINK believes that customers can further expand their achievements with the NEON-2000-JT2 series.

ADLINK and Tier IV have partnered with AutoCore to create an intelligent heterogeneous computing platform and middleware that make autonomous vehicles and robotics safer and more scalable. - ADLINK, Tier IV, and AutoCore will collaborate to provide scalable, high-performance, and functionally safe middleware for use in heterogeneous computing platforms for autonomous vehicles and mobile robots. - This partnership will continue the previously established commitment to contribute to open-source ROS-based projects, including Autoware.Auto and Eclipse Cyclone DDS. - This partnership will help integrate edge AI technology, data-driven middleware, autonomous driving software, and heterogeneous computing to advance the development of a wide range of next-generation autonomous driving applications.

ADLINK Technology Inc., a global leader in edge computing aiming to contribute to society and industry by connecting people, places, and things through AI, has led the development of Eclipse Cyclone DDS to become a Tier 1 ROS 2 middleware in collaboration with the Eclipse Foundation IoT community, the OpenADx working group, and the ROS 2 Technical Steering Community. With the latest release of ROS 2, Foxy Fitzroy (foxy), the development of robotics and autonomous vehicles has become easier, faster, and more reliable and secure. Eclipse Cyclone DDS is the next-generation implementation of the OMG (Object Management Group) DDS (Data Distribution Service) standard, reflecting ADLINK's experience in innovative development work from the outset.

ADLINK Technology Inc., a global leader in edge computing aiming to contribute to society and industries by connecting people, places, and things through AI, has partnered with Tier IV and the Industrial Technology Research Institute (ITRI) of Taiwan to pursue the realization of fully autonomous driving. The alliance among the three companies will focus on the joint development of an advanced transportation and traffic management system based on the open-source autonomous driving technology Autoware. Additionally, they will collaborate with local governments on a Proof-of-Concept (PoC) field trial on public roads starting in Taiwan, aiming to expand the research, knowledge, and ecosystem of Autoware.