Answers.Body: <p>There is a large field of AI that indeed does this. It is called multi modal learning. It is a very active research area, especially in the last few years.</p>
  <p>For more information see:
  <a href="https://en.m.wikipedia.org/wiki/Multimodal_learning" rel="noreferrer">https://en.m.wikipedia.org/wiki/Multimodal_learning</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2023-02-24T16:10:53.653Z
Answers.Text: Text-to-image generators are one good recent example of multimodal ML.
  
  Also may be worth explaining why this is a more tricky thing to train - usually limited by availability of training data correctly setup for multimodal learning, whilst auto-regressive and semi-supervised ML on a single input modality can often construct training data from many publicly available sources.
Answers.UserDisplayName: Neil Slater
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Answers.CreationDate: 2023-02-24T22:49:34.217Z
Answers.Text: Thanks for your answer, the "multimodal learning" you mentioned is quite close to my question (subjectively). But I think the question is pretty open, so I'm not going to accept this answer immediately and see if there are more different perspectives.
Answers.UserDisplayName: huang
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Answers.CreationDate: 2023-03-08T14:04:41.383Z
Answers.Text: @huang please consider accepting this answer
Answers.UserDisplayName: chessprogrammer
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Answers.CreationDate: 2023-02-24T08:36:35.917Z
Answers.LastActivityDate: 2023-02-24T08:36:35.917Z
Answers.UserDisplayName: chessprogrammer
Body: <p>Why is the research on artificial intelligence at this stage all researching on a separate ability? For example, train the visual ability of the computer alone, train the speech recognition ability alone, and train the natural language understanding ability alone. Why not train these abilities together at the same time? Does anyone think this will lead to better AI?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-02-24T14:13:28.713Z
Comments.Text: The short answer is that it isn't.
Comments.UserDisplayName: Andy
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Comments.CreationDate: 2023-02-24T14:46:24.210Z
Comments.Text: As the current answer mentioned, Multimodal Learning seems to fit for this, but maybe [Ensemble Learning](https://en.wikipedia.org/wiki/Ensemble_learning) could fit, depending on how it's set up.
Comments.UserDisplayName: Nordine Lotfi
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Comments.CreationDate: 2023-02-24T21:20:35.553Z
Comments.Text: @NordineLotfi Ensemble learning is where (to first approximation) you train multiple systems on the same data and they "vote" on the output. Multimodal learning is the correct term for what huang is asking about.
Comments.UserDisplayName: Ray
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2023-02-24T21:39:03.790Z
Comments.Text: I agree, which is why I said "maybe" since I wasn't sure if there was a better term than this one :) @Ray
Comments.UserDisplayName: Nordine Lotfi
Tags: <machine-learning>
Title: Why is the research on artificial intelligence at this stage all researching on a separate ability?
UserDisplayName: huang
ThreadText: # Why is the research on artificial intelligence at this stage all researching on a separate ability?
  
  (Asked by: username_0 on 2023-02-24)
  
  Why is the research on artificial intelligence at this stage all researching on a separate ability? For example, train the visual ability of the computer alone, train the speech recognition ability alone, and train the natural language understanding ability alone. Why not train these abilities together at the same time? Does anyone think this will lead to better AI?
  
  **Tags:** machine-learning
  
  > **Comments:**
  > **username_1**: The short answer is that it isn't.  
  > **username_2**: As the current answer mentioned, Multimodal Learning seems to fit for this, but maybe [Ensemble Learning](https://en.wikipedia.org/wiki/Ensemble_learning) could fit, depending on how it's set up.  
  > **username_3**: @username_2 Ensemble learning is where (to first approximation) you train multiple systems on the same data and they "vote" on the output. Multimodal learning is the correct term for what username_0 is asking about.  
  > **username_2**: I agree, which is why I said "maybe" since I wasn't sure if there was a better term than this one :) @username_3  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_4 on 2023-02-24. Score: 14 | Accepted answer
  
  There is a large field of AI that indeed does this. It is called multi modal learning. It is a very active research area, especially in the last few years.
  
  For more information see:
  <https://en.m.wikipedia.org/wiki/Multimodal_learning>
  
  > **Comments:**
  > **username_5**: Text-to-image generators are one good recent example of multimodal ML.  Also may be worth explaining why this is a more tricky thing to train - usually limited by availability of training data correctly setup for multimodal learning, whilst auto-regressive and semi-supervised ML on a single input modality can often construct training data from many publicly available sources.  
  > **username_0**: Thanks for your answer, the "multimodal learning" you mentioned is quite close to my question (subjectively). But I think the question is pretty open, so I'm not going to accept this answer immediately and see if there are more different perspectives.  
  > **username_4**: @username_0 please consider accepting this answer  
  
  ---
  
  