Deep learning has deep problems
 

Can’t multi-task

Deep learning has some major issues which will eventually lead it to become a dead end.

For 20 years, deep learning has come to dominate artificial intelligence research and applications through a series of useful commercial applications

But according to IEEE Spectrum the inability of a typical deep learning program to perform well on more than one task, for example, severely limits the application of the technology to specific tasks in rigidly controlled environments.

More seriously deep learning is untrustworthy because it is not explainable -- and unsuitable for some applications because it can experience catastrophic forgetting.

If the algorithm works, it may be impossible to fully understand why. And while the tool is slowly learning a new database, an arbitrary part of its learned memories can suddenly collapse. Therefore, it might be risky to use deep learning on any life-or-death application, such as a medical one.

https://fudzilla.com/news/ai/54205-d...-deep-problems