【Exhibition Information】Exhibiting at Automotive World 2026! We will introduce products that utilize AI for model-based development, including in-car display reproduction, and cover everything from motor design for car electronics to practical operation simulations.

Standard equipped with a rental-compatible JMAG-RT compatible inverter failure simulation function! High precision and high-speed response capable motor HILS.

The DT-1063 motor signal generator is a motor HILS that allows for safe evaluation of controllers without the need for actual motors. It is a real-time simulator (motor HILS) compatible with the electromagnetic field analysis software JMAG developed and sold by JSOL Corporation. By loading JMAG-RT as the simulation model, it operates as a virtual inverter and motor. The compact box contains all the necessary systems for motor simulation and operates as a virtual motor with just a power supply. Additionally, it can be offered at about one-tenth the price of conventional products, making it possible to implement low-cost solutions for development departments aimed at mass production, such as outsourcing to external development partners. 【Features】 - Standalone independent system - Reasonable pricing - High-speed simulation - No advanced modeling technology required *For more details, please download the PDF or feel free to contact us.

• Signal Generator

We significantly lowered the cost barrier for MATLAB-compatible RCP that can be tested with research budgets.

The "DT-0009 RTSim-IV" is a simulator that allows real-time execution of control models created in MATLAB/Simulink. It achieves a simulation cycle of 20μs without using an FPGA and can independently control a total of 12 channels of PWM. It offers an overwhelmingly low price as a MATLAB-based RCP. Additionally, the carrier wave of the PWM generator can be a triangular wave or a sawtooth wave. The carrier frequency can be changed during simulation and can be set for each PWM output. 【Specifications (excerpt)】 ■CPU: ARM Cortex-A9 800MHz dual-core processor ■Memory: 1GB DDR3 SDRAM ■A/D: 100ksps 12bit 4ch (0-4.096[V]) ■D/IO: Input: 16bit, Output: 16bit ■PWM: 12ch (3-phase upper and lower arms x2), maximum carrier frequency 1MHz *For more details, please refer to the PDF document or feel free to contact us.

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30 years of supported computational power - High-speed circuit simulator for power electronics, Scideam.

Scideam is a domestic high-speed circuit simulator specialized in power generation development and power electronics development. It provides a comfortable simulation environment with over 30 years of historical computational algorithms and newly developed circuit editors and waveform viewers. ◆ Three features of Scideam 1. High-speed stable analysis By utilizing a unique analysis algorithm, it resolves both analysis time and convergence issues. It is capable of high-speed stable analysis of switching converters. 2. Loss analysis It can perform loss analysis automatically and at high speed. It displays losses for all components in a list, and switching losses are also measured automatically. 3. Model-based development It connects with MATLAB Simulink and JMAG to build a model-based development environment. *For new download PCs, you can try the full package, including the Scideam product version and the loss analysis option PowerPalette, for 30 days.

• simulator

[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