Jeff Hawkins has a principle that intuitively makes a lot of sense, yet is something that Deep Learning research has not emphasized enough. This is the notion of embodied learning. That is, biological systems learn from interacting with the environment. By Carlos E. Perez.
The classic Deep Learning training procedure is one of the crudest teaching methods that one can possibly imagine. It is based on repetitively and randomly presenting facts about the world and hoping that the student (i.e. the neural network) is able to disentangle and create sufficient abstractions of the world.
Whereas most previous work focuses on the static setting (e.g., with images), we postulate that some of the causal factors could be discovered if the learner is allowed to interact with its environment.
Read the article in full to get better idea about Artificial Intelligence, challenges with Deep learning. The links to further reading and white papers are also provided. Nice one!
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