Through specific indication from the user. Recall the constant utterance of "tea, earl grey, hot"?
Ultimately, I imagine the user's information (documents, etc) was passed directly between ships, or through (as you say) Federation HQ.
> Enterprise's AI data was backed up
Ultimately, I think this is where AI will differ from ML. An AI won't have data that isn't a part of the AI - i.e. you couldn't separate out information specific to Picard from the rest of the AI code. An AI might be able to "scribble" down some notes about interacting with Picard and pass them off to another ship's AI, but the second AI would never treat Picard quite the same way as the first, even with those notes.
This stems from my belief that how ML interprets data is different from how an AI would. If you were to copy all of the data used to build a ML model and apply it again, you'd end up with the same ML model. An AI, on the other hand, if built twice twice from the same data would end creating two separate AIs.
Through specific indication from the user. Recall the constant utterance of "tea, earl grey, hot"?
Ultimately, I imagine the user's information (documents, etc) was passed directly between ships, or through (as you say) Federation HQ.
> Enterprise's AI data was backed up
Ultimately, I think this is where AI will differ from ML. An AI won't have data that isn't a part of the AI - i.e. you couldn't separate out information specific to Picard from the rest of the AI code. An AI might be able to "scribble" down some notes about interacting with Picard and pass them off to another ship's AI, but the second AI would never treat Picard quite the same way as the first, even with those notes.
This stems from my belief that how ML interprets data is different from how an AI would. If you were to copy all of the data used to build a ML model and apply it again, you'd end up with the same ML model. An AI, on the other hand, if built twice twice from the same data would end creating two separate AIs.