Capability-building
Developing R&D, algorithmic expertise, and research capacity.
Definitions (2)
Denotes investments and actions to strengthen research and development, algorithmic expertise, and institutional capabilities (e.g., research centres, testbeds, accelerators) needed to advance national AI competence and innovation.
The strategic development and enhancement of the necessary human, technical, and institutional resources to effectively implement and manage the AI measurement system. This includes fostering talent in AI metrology, investing in advanced testing equipment, establishing specialized research and development centers, and cultivating a thriving ecosystem of measurement service providers.
Related Terms
AI Competence Centers
Specialized R&D institutions advancing priority-domain AI capabilities....
National AI Hub
Coordinated infrastructure and programmatic initiative for AI....
Capability centres
Hubs providing AI expertise, tools and training to adopters....
Infrastructure
Compute and storage resources like HPC and cloud services....
Human capital
Education, reskilling and lifelong learning for AI readiness....