March 13-15, 2024 - HACARUS will exhibit at the Japan debut of the Japan-Europe co-hosted manufacturing event "Smart Manufacturing Summit" at the Aichi Prefecture Pavilion.

From January to March 2024, you can use the development license for 298,000 yen (tax excluded) or 327,800 yen (tax included) for a period of three months.

This is a limited-time campaign for HACARUS Check AI software. Please contact us as soon as possible. ■ About the Target Customers Those who are promoting the automation of visual inspections and have the following challenges: - Considering the introduction of AI and want to try it with reduced initial costs - Already have inspection equipment and want to improve AI accuracy - Have attempted to implement AI but could not due to reasons such as functionality or cost - Have introduced AI but are experiencing excessive detection due to temporal changes in parts ■ About HACARUS Check AI Software This is an AI visual inspection software that can repeatedly perform small quantity, good quality, and rapid learning. It can train the AI with dozens of good products in just a few minutes each day, and it can conduct inspections while minimizing excessive detection even for workpieces whose colors and shapes change over time. HACARUS's AI is based on sparse modeling technology, which extracts features from a small amount of data and performs learning and inference, compared to deep learning that requires a large amount of training data. This allows for high-precision operation with minimal data, enabling the construction and operation of systems while keeping costs and time down.

• Visual Inspection Equipment
• Defect Inspection Equipment
• Image Processing Software

Usable on-site! HACARUS's "Small Quantity Quality Product Speed Learning" AI Visual Inspection Software

HACARUS Check AI software enables high-precision visual inspections using AI. Our uniquely developed "small quantity good product speed learning" AI does not require defective product data or a GPU. It excels in inspections that were difficult with traditional rule-based methods, such as for metal plates, rubber products, fabric materials, and leather materials, and can be used without any knowledge of AI. If you are struggling with visual inspections or have existing inspection equipment and are having trouble handling AI, please feel free to contact us. If you do not have an imaging device, we can provide suggestions. ■ Features - High precision results with a small amount of good product data: just a few dozen good product images are sufficient, with learning time of only a few minutes. - Understandable AI reasoning: the reasoning behind decisions can be explained, allowing for further application and development. - Fast and low power consumption: no GPU required, can be executed in your existing environment. <Software Pricing> First year: 3 million yen Subsequent years: 960,000 yen/year

• Software (middle, driver, security, etc.)

AI visual inspection software runtime license for on-site use / AI continues to learn from work while conducting inspections, suppressing false positives.

■HACARUS Check AI Software Runtime License By allowing AI to learn "continuously," "quickly," and "frequently," it can consistently deliver results from a single system development, even as the inspection targets change over time. This helps to suppress the occurrence of false positives and reduces the time and costs associated with additional system development. <Background> In traditional visual inspection systems, due to time-related changes such as mold wear, system development was required every time the workpiece changed, and without modifications, false positives would occur. The runtime license allows the AI in HACARUS's visual inspection system to continue learning about time-related changes while operating in the inspection process after implementation. <Runtime License Price> 990,000 yen (up to 5 units, thereafter 198,000 yen per unit) *For more details, please contact us.

• Software (middle, driver, security, etc.)

[Speaker] Daisuke Imaizumi, President and CEO, Infra Commons Inc. [Key Lecture Content] The "Software-Defined Warfare" led by the U.S. Department of Defense is establishing a new model of warfare centered on AI, autonomous drones, and real-time command and control. This seminar will explain the U.S. strategic shifts, including the Replicator concept, JADC2, and the rise of Palantir and Anduril, while delving into the essence of the structural transformation facing Japan's defense industry. Through the establishment of Anduril's Japanese subsidiary, the "purely domestic drone" concept, and Palantir's data infrastructure and generative AI deployment, we will present how companies like Mitsubishi Heavy Industries, Kawasaki Heavy Industries, Fujitsu, and NEC can play a central role in Japan-U.S. collaboration. We will provide practical insights for existing industries to carve out paths as "co-creation partners" rather than "enemies" in the AI and software-driven era. This is a must-see lecture for rethinking the future of the defense industry.

[Key Lecture Content] 1. Quantum Technology Opening the Future: The Cutting Edge of Quantum Communication Promoted by the Ministry of Internal Affairs and Communications Yuichiro Yano, Deputy Director, Research Promotion Office, Technology Policy Division, International Strategy Bureau, Ministry of Internal Affairs and Communications 1. Basics of Quantum Technology and the Role of the Ministry of Internal Affairs and Communications 2. The Future Brought by Quantum Technology and Government Strategy 3. Research and Development and Quantum Security Bases 4. Social Implementation of Quantum Technology and Use Cases 5. International Initiatives and Future Prospects 6. Q&A / Business Card Exchange 2. The Value and Potential of Quantum Cryptography in the Post-Quantum Era Go Kato, Director, Quantum ICT Research Laboratory, Future ICT Research Institute, National Institute of Information and Communications Technology 1. The Origin of the Security of Quantum Cryptography 2. Current Status of Quantum Cryptography Devices 3. Current Issues and Potential of Quantum Cryptography Technology 4. Long-term Prospects for Future Technological Development of Quantum Cryptography 5. Q&A / Business Card Exchange

[Key Lecture Content] 1. Trends and Future Prospects of Physical AI Hiroshi Kondo, Deputy Director and Expert, Advanced Technology Lab, Japan Research Institute, Ltd. 1. What is Physical AI? 2. Technological trends of generative AI behind Physical AI 3. Examples and research trends of Physical AI 4. Future prospects 5. Q&A / Business card exchange 2. The Future Opened by Physical AI: NVIDIA's Initiatives and Prospects Ken Arai, Senior Manager, Robotics Developer Relations, Enterprise Business Division, NVIDIA Corporation 1. What does NVIDIA perceive as "Physical AI"? 2. Accelerated computing supporting technological evolution 3. The role of digital twins and the importance of synthetic data generation 4. Learning and inference of Physical AI models 5. Implementation examples of Physical AI 6. Q&A / Business card exchange

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step in Internal DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize documents currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Innovating material development at the nano level through high-speed molecular simulation and machine learning With the advancement of molecular simulation technology, it has become possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulation and machine learning is expanding the range of possibilities. Schrödinger supports the enhancement of analytical power, efficiency, and reduction of development time in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain the latest technologies and answer questions from attendees. *During the event, we will hold a seminar at our booth. Theme: "Seeing Inside Materials at the Nano Level" - New Material Development through Simulation and Machine Learning We will introduce examples of predicting physical property values of various materials on a computer. You can experience each software firsthand. 【Exhibition Information】 Exhibition Name: nano tech Dates: January 28-30, 2026 Venue: Tokyo Big Sight, West Hall 3 Booth Number: 3W-H07 Exhibition Zone: [Materials] Material Zone