CGIAR AI landscape 2025: Needs, opportunities, and next steps
Transforming food, land, and water systems (FLWS) in a climate crisis requires scientific collaboration at a scale and speed that traditional research infrastructures can no longer support. CGIAR’s 2030 Research and Innovation Strategy recognizes this urgency and positions the digital revolution as...
| Autores principales: | , , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR System Organization
2025
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/178766 |
Ejemplares similares: CGIAR AI landscape 2025: Needs, opportunities, and next steps
- AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity
- CGIAR AI readiness and needs assessment
- Beyond the hype: Centering humans in CGIAR’s genAI research
- Introducing AgriLLM: An AI powered agricultural advisory service for the global south
- Harnessing AI to scale agricultural extension: Opportunities and emerging pathways
- Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn