The second session will be held on October 23 (Thursday). A series of 7 webinars titled "Research Environments Changing with Reality and Virtuality" - Online Seminar.

No special preparation or training is required to get started! Introducing an electronic lab notebook that can be intuitively operated with a simple screen layout.

The electronic lab notebook "BIOVIA Notebook" is an easy-to-implement and operate ELN/electronic lab notebook, making it an ideal tool for promoting digital transformation (DX) in research and development departments. It enhances innovation in research and development by accelerating research and development speed, reducing costs, and enabling information sharing across organizations. In the past, we have achieved cost reductions on the scale of hundreds of millions of yen and have operated with 4,000 users without the need for dedicated personnel. Additionally, by using the accompanying "Pipeline Pilot," data analysis and visualization are possible, and integration with other systems, including LIMS, is also feasible. 【Features】 - Common format makes the recorded content easy to read - Simple screen layout allows for intuitive operation - Easy to implement and start - No special preparation or training required before use - Compatible with Word / Excel / PowerPoint and many web browsers - Excellent search system within the electronic lab notebook allows for efficient data utilization *For more details, please check the PDF download.

• Other information systems

Material development simulation software compatible with various types of materials, supporting analysis in quantum mechanics, classical mechanics, and mesoscale.

"Materials Studio" A suite of molecular modeling/simulation tools for next-generation materials development equipped with quantum mechanics (density functional theory), classical mechanics (molecular dynamics calculations), mesoscale (dissipative particle dynamics calculations, etc.), statistics, and analysis/crystallization tools. 【Features】 ■ Simulation software that streamlines material development Available for use by those engaged in research, development, design, and manufacturing across various industries and fields. ■ Supports various types of materials Effective in predicting how the structure of atoms and molecules relates to the physical properties and behaviors of materials in the fields of materials science and chemistry, aiding in the understanding of physical phenomena. ■ Examples Research and development of crystal growth, thin film formation, fuel cells, lubricants, catalysts, polymers and mixtures, metals and alloys, batteries and fuel cells, etc. ■ Enhanced visualization with "Materials Studio Visualizer" ■ All tasks, including creating crystal structures, setting calculation conditions, and displaying calculation results, can be performed on a single GUI screen. *For more details, please refer to the catalog or feel free to contact us.

• Image analysis software
• others

【Easy Introduction!】Introducing a tool for paperless experimental data (electronic lab notebook) that can be intuitively operated with a simple screen layout.

The paperless tool for experimental data, "BIOVIA Notebook," is an electronic lab notebook that can be easily introduced and operated. It is the ideal tool for accelerating DX promotion in technology development and research departments, and it can be used by all customers engaged in "experiments," regardless of industry. In the past, it has achieved cost reductions on the scale of hundreds of millions of yen and has a track record of operating with 4,000 users without the need for dedicated personnel. Additionally, by using "Pipeline Pilot," which comes with BIOVIA Notebook, integration with other systems, including LIMS, is also possible. 【Features】 ■ Content is easier to read with a common format ■ Simple screen layout allows for intuitive operation ■ Easy to introduce and start ■ No special preparation or training is required before use ■ Compatible with Word / Excel / PowerPoint and many web browsers ■ Excellent search system within the electronic lab notebook allows for efficient use of data *For more details, please check the PDF download.

• Other information systems
• Other operation management software
• others

The ultimate tool that enables effective utilization of various data, capable of implementing machine learning and easily performing Bayesian optimization.

PipelinePilot is a powerful data science platform that can process data at high speed. It can handle complex data formats, including text and numerical data, as well as images, chemical structures, and genetic sequences. It meets the diverse needs of various industries such as automotive, aerospace, energy, oil, pharmaceuticals, and biotechnology. 【Features】 ◆ Easily create data processing flows without programming knowledge ◆ Build high-quality models using built-in validation techniques ◆ Rich integration capabilities with Python, R, and web services *For more details, please contact us.

• simulator
• Business Intelligence and Data Analysis
• Document and Data Management

Data mining tools that enable large-scale data processing and analysis, automation of tasks, and visualization of workflows.

This document introduces the data mining tool "Pipeline Pilot" developed and sold by Wavefront Inc., which engages in software development and sales for electronic computers, as well as analysis, design, and consultation using software. Pipeline Pilot is a powerful data mining tool that supports a wide range of fields, enables data analysis using data processing and machine learning, and allows seamless integration with other applications. [Features] ■ Intuitive user interface ■ Support for a wide range of fields ■ Seamless integration with other software *If you have any questions or uncertainties, please feel free to contact us.

• Other analyses

Just connect over 3000 parts! Ideal for narrowing down candidates during new material development. With machine learning capabilities, it's effective for a wide variety of business improvements!

PipelinePilot is software that allows you to perform all tasks related to data analysis, including data preprocessing, analysis, and visualization such as graph creation, all within a single product. It can be used for narrowing down candidates during new material development and for discovering correlations in complex data where relationships are not immediately apparent. 【Features】 ◆ Easily create data processing flows without programming knowledge ◆ Simplifies data preprocessing, which can be a bottleneck when handling large datasets ◆ Numerous implementations in chemical and drug discovery companies *For more details, please contact us.

• simulator
• Thermo-fluid analysis
• Contract Analysis

[Speaker] Professor Ken Kurosaki, Director of the Research Institute for Integrated Nuclear Science, Kyoto University [Key Lecture Content] In the 7th Basic Energy Plan, which was decided by the Cabinet in February 2025, future electricity demand has been significantly revised from a decrease to an increase, and a clear policy has been established to maximize the use of nuclear power going forward. This shift is backed by the rapid advancement of AI technologies, including generative AI. As society fully embraces AI, a stable power source that is also decarbonized becomes essential, and nuclear power is being repositioned as a key player to meet this demand. To maximize the use of nuclear power, innovations in nuclear technology, exemplified by the development of next-generation reactors, as well as the securing and training of human resources in the nuclear field, are crucial keys. This lecture will outline the background of this policy shift and the next innovations that nuclear power will pave the way for. [Lecture Items] 1. Introduction 2. The 7th Basic Energy Plan 3. What is needed in the AI era 4. The appeal and challenges of nuclear power 5. Nuclear innovation, from SMRs to fusion 6. Human resource development in the nuclear field 7. Conclusion 8. Q&A

[Speaker] SBD Automotive China Consultant Dai Sijia [Key Lecture Content] China has become the world's most active hub for in-vehicle AI innovation, with AI technologies being rapidly implemented in smart cockpits, advanced driver assistance systems (ADAS), and even integrated control of AD and chassis cockpits. This lecture will provide an overview of the AI strategies of Chinese OEMs and suppliers, explaining specific use cases, architectural designs, and technological trends. In particular, it will focus on the in-vehicle deployment of large language models (LLMs), multi-modal sensing, and the evolution of cross-domain AI controllers, presenting design guidelines for next-generation smart cars. [Lecture Items] 1. Overview of AI development in China: Roadmap summary and key players 2. AI trends in cockpits 3. AI trends in ADAS/autonomous driving 4. The role of AI in cross-domain integration 5. Future AI deployment and challenges in the Chinese and global markets 6. Q&A

ASTERIA Warp" is a no-code and fast development data integration tool that easily realizes complex connections and data transformations between over 100 data sources, from Excel to business systems and cloud services, and has been the number one in domestic market share for 19 consecutive years (*). With over 10,000 implementations, it is utilized for various purposes such as system integration, data analysis, master data management, business automation, and efficiency improvement. In this seminar, we will introduce the features of "ASTERIA Warp," focusing on its functions and use cases. We will also have a Q&A session, so if you have any topics or questions you would like to discuss during the seminar, please fill in the "Questions and Comments" section at the bottom of the application form. You can also ask questions on the day of the event using the Q&A feature, so feel free to reach out! ▽ ASTERIA Warp Product Introduction Site https://www.asteria.com/jp/warp/ * According to Techno System Research's "2025 Software Marketing Overview EAI/ESB Market Edition

ASTERIA Warp" is a data integration tool that has been the number one in domestic market share for 19 consecutive years (*), enabling complex connections and data transformations between over 100 data sources, from Excel to business systems and cloud services, with no-code and rapid development. With over 10,000 successful implementations, it is utilized for various purposes such as system integration, data analysis, master data management, business automation, and efficiency improvement. In this seminar, we will introduce the features of "ASTERIA Warp," focusing on its functions and use cases. We will also have a Q&A session, so if you have any topics or questions you would like to discuss during the seminar, please fill in the "Questions and Comments" section at the bottom of the application form. You can also ask questions on the day of the event using the Q&A feature, so feel free to reach out! ▽ ASTERIA Warp Product Introduction Site https://www.asteria.com/jp/warp/ * According to Techno System Research's "2025 Software Marketing Overview EAI/ESB Market Edition

This webinar will cover the improvement of separation and reproducibility using BioLC (InfinityLab LC), the usefulness of peptide analysis methods using Altura LC columns, case studies of synthetic peptides (including modified amino acids) analyzed with BioConfirm software, and the automation of preprocessing workflows using Bravo. Additionally, we will introduce the increasing importance of data integrity in peptide pharmaceutical analysis and practical points throughout the analytical process. This content will be valuable for those involved in peptide pharmaceutical analysis. We encourage you to participate. Date: April 16, 2026 (Thursday) 14:00-15:00 Target Audience: Analysts and lab managers from pharmaceutical manufacturers and contract analysis organizations who are considering or conducting analyses Participation Fee: Free Format: Online seminar (webinar, tool used: ON24) Presentation: Introduction to the analysis of peptide pharmaceuticals including GLP-1 Presented by: Yusuke Jikumaru, Agilent Technologies Japan, Ltd.