This item was not updated in last three versions of the Radar. Should it have appeared in one of the more recent editions, there is a good chance it remains pertinent. However, if the item dates back further, its relevance may have diminished and our current evaluation could vary. Regrettably, our capacity to consistently revisit items from past Radar editions is limited.
Backlog
Why?
The dependency on large labeled datasets for training AI models limits the agility and applicability of AI in scenarios where data is scarce or rapidly evolving.
What?
Evaluate low/zero shot learning techniques to enable models to make accurate predictions with minimal or no labeled training data, significantly enhancing the flexibility and deployment speed of AI solutions