> AI and ML ... still insist to treat the two as obviously separate
Automated problem solving does not imply "learning". E.g. clustering does not. Also, expert systems are pretty static, and it is not really the "machine" that learns (a flowchart can hardly be said to "learn").
> decided
It is not a matter of deciding ("de-cidere" (cutting) and fuzziness do not really marry), it is just looking at the terms with some historic awareness.
The "brain" works through fuzzy patterns, and of course the concepts somehow relevant to said model also do. You don't cut over a blurry line, but separate points in space remain distant.
The way you present the distinction is really clear, but in the physical sciences it’s very common to use the terms AI and ML interchangeably, and I think it’s partly because people in those fields are not quite sure of the distinction between the two terms
Automated problem solving does not imply "learning". E.g. clustering does not. Also, expert systems are pretty static, and it is not really the "machine" that learns (a flowchart can hardly be said to "learn").
> decided
It is not a matter of deciding ("de-cidere" (cutting) and fuzziness do not really marry), it is just looking at the terms with some historic awareness.
The "brain" works through fuzzy patterns, and of course the concepts somehow relevant to said model also do. You don't cut over a blurry line, but separate points in space remain distant.