- Address high-priority national and societal needs through applied, interdisciplinary AI research.
- Move ideas through technology development, prototyping, productization, and commercialization.
- Build systematic links with industry, public agencies, society, and investors.
- Develop specialist, entrepreneurial, and responsible talent through real projects.
- Standardize AI design, development, and evaluation, including bias management, trustworthiness, robustness, and causal AI.
- Measure impact, document outputs, and transparently publish information not restricted by legal, ethical, or contractual obligations.
latest update:
Sep 13 2026 - 09:43:55