背景知識と少量のデータから汎用的で解釈可能な知識をデータ駆動で学習するAIの開発

• Project/Area Number: 25K21269
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 61030:Intelligent informatics-related
• Research Institution: Institute of Science Tokyo
• Principal Investigator: Phua Yin・Jun 東京科学大学, 情報理工学院, 助教 (20963747)
• Project Period (FY): 2025-04-01 – 2028-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2027: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000); Fiscal Year 2026: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000); Fiscal Year 2025: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)