Learn to Use AI in Research
Reading papers, writing code, and explaining results provide topics for learning how to frame questions for generative AI and check its responses.
- Assistance with reading literature and organizing research information
- Drafting and revising analysis code, and checking its execution results
- Assistance with figure descriptions, captions, and presentation wording
- Assistance with manuscript structure and expression, and Japanese-English communication
Topics are selected around your field, experience, and the tasks you want to learn.
Choose Tools and Plan Adoption
We help laboratories and research support teams identify where generative AI can assist their work. Tool selection considers the functions needed, data handling, access permissions, and institutional requirements. Support also covers how the tools will be used after adoption.
We help define which information may be entered, how outputs are checked, and staff responsibilities, then turn these into practical steps for research and support tasks.
Support and Materials
Training and adoption support can be combined to suit your needs.
- Learning topics and materials suited to your research tasks
- Requirements and comparison criteria for tool selection
- Proposed procedures and rules for inputs, output checks, and information handling
Scope, cost, and schedule are agreed individually.
What to Share When You Contact Us
- Your research field or role and the tasks you want to address with generative AI
- Current experience and the tools or environment available to you
- Institutional usage rules and limits on sharing information
- What you want to learn, adoption challenges, and preferred timing
You can enquire whether you are learning how to use the tools or considering adoption within an organization.
Using AI in Academic Research
Check AI responses against original papers, data, code execution results, and other evidence before using them. Confidential information and unpublished manuscripts are not entered into external services without approval. Use follows institutional and publication rules, while people remain responsible for research decisions and outputs. Specific research outcomes or paper acceptance are not guaranteed.
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