> Speech recognition, machine translation, machine vision, for example. All basically solved problems in the last few years.
Is this true or is there just a massive gulf in application at the moment?
For one trivial example take something like indexing historical newspapers that you would really expect to be in the class of “solved problems” because it’s largely typeset, but the commercial offerings [1,2,3] are just chock full of errors and there is absolutely nothing I can apply off the shelf that gets better results without a ton of extra effort and compute.
Is this true or is there just a massive gulf in application at the moment?
For one trivial example take something like indexing historical newspapers that you would really expect to be in the class of “solved problems” because it’s largely typeset, but the commercial offerings [1,2,3] are just chock full of errors and there is absolutely nothing I can apply off the shelf that gets better results without a ton of extra effort and compute.
1. Newspapers.com 2. Newspaperarchive.com 3. Genealogybank.com