R&D Won't Change by Just "Leaving it to AI"

QunaSys Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Tennin Yo), a company promoting the industrial application of quantum computers, will hold an online webinar on Wednesday, June 24, 2026, on the theme of generative AI utilization and human collaboration in the R&D field.

■ Webinar Overview
Event Name: R&D Won't Change by Just "Leaving it to AI"
— A Webinar for On-site Personnel in R&D and Technology Development —
Date & Time: June 24, 2026 (Wednesday) 14:00–15:00
Format: Online (Zoom)
Fee: Free (Pre-registration required)
Organizer: QunaSys Inc.

■ Background and Aim of this Webinar
With the advancement of generative AI, its application in the R&D field is being rapidly considered.
Its use is becoming realistic not only for literature surveys and summaries but also for upstream processes traditionally handled by researchers, such as hypothesis generation, theme exploration, mathematical model construction, and research planning.
However, in actual practice, simply introducing AI often fails to produce sufficient results.

Challenges Occurring in the Field
・It is difficult to judge how much to trust AI output.
・How to use AI for "problems without a single correct answer," like research theme formulation, has not been organized.
・The bottleneck is not the AI introduction itself, but the "design of role division with humans."

In R&D, the process of deciding "how to define the question itself" and "which hypotheses are worth verifying" is extremely important.
This webinar will treat AI not as a "replacement for researchers" but as a "support tool for generating better questions," and will organize how humans and AI can collaborate based on actual R&D workflows.
Furthermore, using QunaSys's R&D support solution "PhysiLenz" as an example, we will introduce specific approaches to AI utilization in hypothesis building and research theme formulation.

■ Program (Tentative)
・Opening Remarks / Purpose Explanation
・Deployment of Generative AI/Large Language Models (LLM) in the R&D domain
・Organizing problems AI is good at / bad at
・Demonstration of AI collaboration in R&D theme formulation
・Q&A
・Closing

■ Speaker
Shota Takamuku
Manager, Research Solution Department
QunaSys Inc.

■ Key Points of this Webinar
1. Focus on the "R&D process where humans and AI collaborate," not just "AI introduction."
We will focus on the division of roles with humans and the design of verification flows, rather than the performance of AI alone. We will also introduce a practical way of thinking that structures and hypothesizes based on researchers' experience and intuition, rather than eliminating them.

2. Deals with the "upstream process" of research theme formulation.
We will address AI utilization at the starting point of R&D—"what should be researched"—rather than just operational efficiency.

3. Explanation based on actual R&D workflows.
We will explain the collaboration process with AI using specific case studies in chemical engineering, process design, and materials development.

■ Recommended for:
・Individuals in R&D and technology departments
・Those exploring how to utilize generative AI in R&D
・Those who want to know specific role divisions and workflows for AI utilization
・Those interested in advancing and streamlining research theme formulation
・Individuals in DX promotion and digital promotion departments
・Those considering AI utilization themes in the R&D domain
・Those thinking about how to establish AI utilization in the field
・MI, CAE, and computational science personnel
・Those facing challenges in designing human-AI collaboration
・Those looking to provide value beyond just "doing calculations"

■ How to Apply
Please register in advance using the application form.
*Application Deadline: June 19, 2026
*The viewing URL will be sent by email by the day before the event.

■ About QunaSys
QunaSys is a quantum computer software company leading the development of quantum algorithms for industries including chemistry and materials science. Focusing on quantum machine learning, quantum chemistry, and CAE (Computer-Aided Engineering) using quantum technology, we collaborate with academic institutions, industry, and government agencies to maximize the potential of quantum computers and tackle scientific challenges.

■ Contact Information
QunaSys Inc. Webinar Team
Email: info@qunasys.com