Prolog goes back to the days when processors were slow and memory limited. I never had the need to get into it although I did do some LISP programming as a student.
The "deep learning" approach relies on huge processing power, huge storage and sample data availability. Apparently, once a solution to a given problem is found and understood it's also possible to undermine it.
The "deep learning" approach relies on huge processing power, huge storage and sample data availability. Apparently, once a solution to a given problem is found and understood it's also possible to undermine it.