The arguments about symbolic vs deep learning for AI reminds me a lot of arguments about numerical methods vs ML for solving physics problems. Seems like hybrid methods are the way to go in both cases.

Let me start by saying a few things that seem obvious,” Geoffrey Hinton, “Godfather” of deep learning, and one of the most celebrated scientists of our time, told a leading AI conference in Toronto in 2016. “If you work as a radiologist you’re like the coyote that’s already over the edge of the cliff but hasn’t looked down.” Deep learning is so wel...