Operational coding rules for FT, CT and GPT
| Tier | Definition | Coding rule | Typical examples |
|---|---|---|---|
| FTs | AI-enabling infrastructure and foundational support technologies | Patent primarily relates to hardware, computing, storage, communication or data infrastructure supporting AI development/deployment | AI chips, computing devices, data platforms and cloud/edge infrastructure |
| CTs | Core algorithmic and engineering capabilities | Patent primarily relates to algorithms, model architectures, learning methods, training, optimisation or AI software frameworks | Machine learning algorithms, neural networks and model training methods |
| GPTs | Downstream application-oriented AI technologies | Patent primarily embeds AI into products, services or cross-sector solutions | Smart diagnosis, intelligent logistics and autonomous control systems |
| Tier | Definition | Coding rule | Typical examples |
|---|---|---|---|
| FTs | AI-enabling infrastructure and foundational support technologies | Patent primarily relates to hardware, computing, storage, communication or data infrastructure supporting | |
| CTs | Core algorithmic and engineering capabilities | Patent primarily relates to algorithms, model architectures, learning methods, training, optimisation or | Machine learning algorithms, neural networks and model training methods |
| GPTs | Downstream application-oriented | Patent primarily embeds | Smart diagnosis, intelligent logistics and autonomous control systems |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.