【Product Introduction Webinar on July 3 (Friday) from 13:30 to 14:00】Introduction of the AI facial recognition solution FaceView and the edge computing hardware platform.

Intel Movidius Myriad X VPU onboard

- Intel Movidius Myriad X VPU onboard - Ultra-compact, low power consumption - Hardware acceleration for general DNN (Deep Neural Network) - Scalable for multi-video stream edge inference - 10 times the performance compared to the previous generation - Perfect support with Intel OpenVINO toolkit

• Embedded Board Computers

4x PCIe equipped with Intel Movidius Myriad X VPU Edge AI acceleration module

- 4x/8x Intel Movidius Myriad X VPU onboard - General DNN (Deep Neural Network) hardware acceleration - Scalable for multi-video stream edge inference - 10 times the performance compared to the previous generation - Intel OpenVINO toolkit for inference performance optimization - Edge AI Suite with GUI for rapid evaluation

• Embedded Board Computers

Edge AI module equipped with one m.2 Intel Movidius Myriad X VPU.

- Intel Movidius Myriad X VPU onboard - Ultra-compact, low power consumption - Hardware acceleration for general DNN (Deep Neural Network) - Scalable for multi-video stream edge inference - 10 times the performance compared to the previous generation - Perfect support with Intel OpenVINO toolkit

• Embedded Board Computers

Intel Movidius VPU | 1080p 120fps encoding and decoding | 12~24V | OpenVINO support

Equipped with 2 x Intel Movidius Myriad X VPUs on an Intel Core i5 platform, it meets the needs of high-performance computing for applications such as up to 1080p video encoding and decoding, traffic monitoring, license plate and vehicle type recognition, and object recognition with multi-channel processing. 【Key Features of This Product】 ■ Intel Core i5-6442EQ QC SoC ■ 2x Intel Movidius Myriad X VPU MA2485 built-in ■ Supports Intel OpenVINO toolkit ■ Best-in-class graphics capabilities, supporting up to 1080p/240fps video encoding and decoding ■ Isolated 12-24VDC wide-range power input ■ Expandable diverse communication options, e.g., WLAN, WWAN ■ Vibration and shock resistant certified by MIL-STD-810G (rugged) ■ Certifications for general standards, CE, FCC, CB, UL, CCC, and BSMI ■ Built-in development kit Edge AI Suite

• Image Processing Equipment
• Industrial PCs
• Embedded Board Computers

DIN rail compatible | Versatile industrial edge AI computer focused on practicality

The AIR-101 is equipped with an Intel Atom E3940 Quad Core processor and 2 x Intel Movidius Myriad X VPUs, featuring a DIN rail design and a wide power input range (12V to 28V), making it ideal for applications such as AGVs and factory automation. 【Features】 ■ Equipped with Intel Atom E3940 Quad Core processor ■ Includes 2 x Intel Movidius Myriad X VPUs ■ Supports Intel OpenVINO toolkit ■ Built-in 1x SATA slim 64G SSD ■ Built-in 1x 204-pin SO-DIMM DDR3L 8GB memory ■ DIN rail AI system with I/O ports ■ M.2 2230 (for Wi-Fi or optional VEGA-320 module) ■ Built-in development kit Edge AI Suite with pre-trained AI models

• Industrial PCs

"Accurate facial recognition with AI, an astonishing 99.7%" Features high precision recognition rate. 4K ultra-high-definition digital signage player.

Equipped with an Intel Atom x7-E3950 CPU and 1 x Intel Movidius Myriad X VPU, this product supports multi-4K displays and features facial recognition, making it suitable for interactive kiosks and whiteboards in the retail industry. 【Key Features of This Product】 ■ Equipped with Intel Atom x7-E3950 processor ■ Equipped with Intel Movidius Myriad X VPU MA2485 x1 ■ nVidia GeForce GT 1030 ■ 4 x HDMI 4K resolution ■ GUI development kit Edge AI Suite for rapid evaluation ■ Low power, fanless signage player

• Industrial PCs
• Embedded Board Computers

Powerful edge AI inference system equipped with Intel Xeon E3 and 6th/7th generation Core i series.

A server-grade computer with multiple I/O options, compatible with Intel Xeon E3 / 6th/7th generation Core i series processors and PCIe x16 slots, capable of high-performance graphics cards, enabling fast AI inference and on-premise training for applications such as robotic AOI optical inspection systems. 【Key Features of This Product】 ■ Equipped with Intel Xeon / 6th & 7th Gen. Core i3/i5/i7 processors ■ Dual display: VGA + HDMI ■ Supports up to 32 GB of DDR4 SO-DIMM memory ■ 850W power supply bundled output ■ Drive bay options for two 2.5-inch hard drives ■ Supports high-output GPU cards with up to 260W PCIe x16

• Image Processing Equipment
• Industrial PCs

This is a webinar that explains the basic concepts of nonlinear regression and practical analytical methods using JMP. We will welcome Mr. Fukushima, who is in charge of biostatistics at Takumi Information Technology and has extensive experience in the pharmaceutical industry and knowledge of statistical analysis, as our instructor. Target Audience: - Those who want to learn about nonlinear regression and understand it from the basics. - Those involved in data analysis in fields such as pharmaceuticals and manufacturing, who are interested in utilizing nonlinear models. - Those interested in data analysis using JMP and want to apply it in practice. Program: - Part 1: Introduction to Data Visualization and Nonlinear Regression An overview of the basics of nonlinear regression using non-clinical trials in the pharmaceutical industry as a subject. - Part 2: Features of Nonlinear Regression in JMP and Examples of Its Use in Quality Control An explanation focusing on the functions and features of nonlinear regression in JMP. ▼ Details & Registration https://www.jmp.com/ja/events/live-webinars/non-series/2026/06-25-nlr

[Key Lecture Content] 1. Promotion of Solar Panel Recycling Yuta Okazaki, Director, System Planning Office, General Affairs Division, Environmental Restoration and Resource Recycling Bureau, Ministry of the Environment 1. Previous efforts regarding the disposal and recycling of solar panels 2. Laws related to the promotion of resource recovery from solar cell waste 3. Q&A / Business card exchange 2. Expansion of Solar Power Generation and Formation of a Positive Cycle for Panel Resource Recycling Akihou Kawai, Analyst, Materials Team, Industrial Research Department, Mizuho Bank 1. Policy trends surrounding solar power generation 2. Trends in the solar power generation industry 3. Resource recycling related to solar power generation and panels 4. Examples of initiatives by businesses towards resource recycling - Towards glass recycling 5. Examples of initiatives by businesses towards resource recycling - Towards efficient collection 6. Examples of initiatives by businesses towards resource recycling - Guarantees and insurance for solar power generation equipment and related trends 7. Awareness of issues and directions for problem-solving regarding resource recycling of solar panels 8. Q&A / Business card exchange

[Key Lecture Content] 1. New Trends in the Submarine Cable Market: Current Status and Outlook Mr. Takuya Makiyama, Senior Researcher, Mobility and Communication Policy Headquarters, Mitsubishi Research Institute 1. Why are submarine cables attracting attention now? 2. Overview of the submarine cable market 3. Major players and changes in industry structure 4. Future outlook and expectations 5. Q&A / Business card exchange 2. Submarine Cables Supporting International Communication and KCS's Initiatives Mr. Tomonori Shinto, Executive Officer and Senior Managing Director, Technical Operations Headquarters, KDDI Cable Ship Co., Ltd. 1. Business introduction 2. Overview of submarine cables 3. Various operations related to submarine cables 4. Current status and challenges of the submarine cable industry 5. Q&A / Business card exchange

[Speaker] Ayaka Hiraki, Fellow at Deloitte Tohmatsu Research Institute, General Incorporated Association [Key Lecture Content] Due to high tariff measures and withdrawal from international organizations by the second Trump administration in the United States, military operations in Venezuela, and attacks on Iran, the world is indeed "Under Destruction." As the economy and cutting-edge technologies become intertwined with security, this lecture will analyze the trends in the defense industries of Japan, Europe, and the United States from three perspectives: "modular security," "total defense," and "the rise of artificial intelligence (AI)," while examining the potential and challenges of Japan's defense industry. [Lecture Topics] 1. Changes in Japan's security environment 2. Three points to consider for future security systems (1) Modular security architecture (2) Total defense (3) AI 3. Initiatives in Japan, Europe, and the United States (1) Europe: European defense industry strategy and strategic autonomy (2) United States: National security strategy under the Trump administration (2025 NSS) and defense innovation (3) Japan: Key points of the FY2026 budget and trends towards the revision of three strategic documents 4. Future outlook for the defense industry - possibilities and challenges regarding participation 5. Q&A

[Speaker] Anderson Mori & Tomotsune Law Office Foreign Law Joint Enterprise Partner Attorney Eiji Kobayashi [Lecture Topics] 1. FIT/FIP System in Solar Power Generation Business (1) Overview of FIT/FIP System Based on Renewable Energy Law (2) Background of Amendments to Renewable Energy Law Related to Solar Power Generation Business (3) Key Practical Points in Current Renewable Energy Law 2. Amendments and Regulations Related to Solar Power Generation Business (1) Forest Law (2) Electricity Business Law (3) Environmental Impact Assessment (4) Landscape Law (5) Others 3. Q&A Session