Webinar on July 16 (Thu) at 14:00: "Thinking with Practical Examples: How to Make Generative AI Truly Useful in R&D Processes"

QunaSys Inc. (Headquarters: Bunkyo-ku, Tokyo; CEO: Tianren Yang), which promotes the industrial application of quantum computers, will hold an online webinar titled "Thinking with Practical Examples: How to Make Generative AI Truly Useful in R&D Processes," focusing on the use of generative AI in research and development and technology development sites, on July 16, 2026 (Thu) from 14:00 to 15:00.

This webinar is a practical follow-up to "R&D Won't Change by Just 'Leaving it to AI,'" held on June 24, 2026, which was attended by approximately 100 participants.

*This webinar will begin with a review of the key points from the previous session, so even first-time attendees will be able to understand the content.

This session will focus on how to leverage generative AI's "candidates" and "ideas" by combining them with researchers' "experience and on-site intuition" to advance actual research and development processes, rather than simply ending with suggestions. We will explain practical approaches to make generative AI "truly useful" on-site, including a demonstration of "PhysiLenz," a research and development support solution developed by QunaSys.

Webinar Outline

Event Name

Thinking with Practical Examples: How to Make Generative AI Truly Useful in R&D Processes - Introducing Key Points for Advancing R&D Beyond AI's Idea Generation -

Date and Time

July 16, 2026 (Thu) 14:00 - 15:00

Format

Online (Zoom)

Participation Fee

Free (Advance registration required)

Organizer

QunaSys Inc.

Speaker

Shota Takaragi, PhD (Engineering), General Manager, Research Solution Department, QunaSys Inc.

Background and Objectives of this Webinar

With the advancement of generative AI, its use in research and development sites for literature surveys, material discovery, and idea generation is expanding.

However, many voices from the field express concerns such as, "Generative AI provides various candidates and ideas, but it's difficult to decide which to prioritize," "It's helpful for reference, but doesn't lead to concrete next actions," and "It just ends at the idea generation stage."

To make generative AI "truly useful" in research and development, it is not enough to blindly accept the ideas generated by generative AI. The crucial process is to combine these ideas with site-specific prerequisites and constraints, as well as researchers' own observation results, and transform them into a form that allows the team to decide "what to do next" (verifiable hypotheses).

This webinar will introduce practical ways of thinking to incorporate generative AI into the R&D process and actually move the process forward. Using QunaSys's R&D support solution "PhysiLenz," we will demonstrate a series of approaches to organize generative AI outputs and researcher insights, leading to concrete next steps.

Program (Tentative)

- Introduction: Review of the previous session, "Why R&D Won't Change by Just 'Leaving it to Generative AI'"

- Practical Approach: How to convert generative AI's "idea generation" into "verifiable hypotheses"

- Demonstration: Application examples of PhysiLenz in the R&D process

- Q&A *Content may be subject to change due to progress and questions on the day.

Highlights of this Webinar

- How to make generative AI's "idea generation" useful in practice We will explain the overall thought process for converting AI-generated candidates into a form that researchers can use for decision-making and action, thereby advancing research, rather than just passively viewing the outputs.

- Method for converting on-site intuition into "verifiable hypotheses" Through demonstrations, we will show the concrete flow from organizing mixed on-site information into correlation diagrams to ultimately formulating "what to do next and when to change direction."

- Utilization of hypotheses (models) as a common language for all stakeholders We will introduce a system for experimental staff, calculation staff, and team leaders to objectively review "why we are doing this next" based on the same model (correlation diagram, schematic of possible phenomena, mathematical formula) and achieve speedy consensus.

Recommended for:

Individuals in R&D and Technology Departments

- Those exploring how to utilize generative AI in research and development

- Those who want to know the specific roles and practical processes for AI utilization

- Those who want to connect generative AI responses to concrete "next actions" beyond just "idea generation"

Individuals in DX Promotion and Digital Promotion Departments

- Those considering AI utilization themes in the R&D domain

- Those thinking about how AI can be adopted and sustained in practice

Individuals in MI, CAE, and Computational Science

- Those facing challenges in collaborative design between AI and humans

- Those looking to provide value through enhanced collaboration with other staff, beyond just completing assigned calculations

How to Apply

Please register in advance via the application form.

Application Deadline: July 13, 2026 (Mon)

*The viewing URL will be sent by email the day before the event.

About QunaSys

QunaSys is a quantum computer software company leading the development of industrial quantum algorithms in fields such as chemistry and materials science. Focusing on quantum machine learning, quantum chemistry, and CAE (Computer-Aided Engineering) using quantum technology, QunaSys collaborates with academic institutions, industry, and government agencies to maximize the potential of quantum computers and address scientific challenges.