I work in the field of deep learning but in the 1980s and 1990s I used Common Lisp and worked on symbolic AI projects.
For several years, my gut instinct has been that the two technologies should be combined. Since neural nets are basically functions, I think it makes sense to compose functional programs using network models for perception, word and graph embedding, etc.
EDIT: I can’t wait to see the published results in May!
EDIT 2: another commenter reelin posted a link to the draft paper https://openreview.net/pdf?id=rJgMlhRctm
Mark Watson's the reason I started down the AI/CL rabbit hole back in 1991 with his "Common LISP Modules: Artificial Intelligence in the Era of Neural Networks and Chaos Theory" book that now retails for over $80 on Amazon! I had started on early neural networks a year or two before, but that book roped me in. I think CL will have another AI Spring.
I have and I like to track the price of that book every once and a while as a barometer of popularity and Amazon pricing models! Thanks for itching my noggin ;)
For several years, my gut instinct has been that the two technologies should be combined. Since neural nets are basically functions, I think it makes sense to compose functional programs using network models for perception, word and graph embedding, etc.
EDIT: I can’t wait to see the published results in May! EDIT 2: another commenter reelin posted a link to the draft paper https://openreview.net/pdf?id=rJgMlhRctm