skythomas

Grossly unfair title

I don't know the real answer in Boston Dynamics' case. However, in general, the answer is that Deep Learning is just beginning to be integrated into the pipelines of major robotics/reinforcement learning pipelines. The same thing took time in complicated speech recognition pipelines.

Deep learning is great for recognition/classification but robotics is much more.. Deep learning has to coexist with a number of other critical components.

However, there is major and extremely exciting work being demonstrated in the literature art recent conferences on this front. Expect major developments this year

Uhm.. no. What is special today about deep learning is the hierarchy of features. Yes, we are talking primarily about CNN's and RNN's trained with SGD TODAY. Yes,the entire catalog of ML techniques are still very interesting. Yes, in the future many of these techniques will be viable in a deep setting. But, no, you don't just get state of the art results by using linear regression or HOG and SIFT SVM's on a big data set.

Hierarchy of features is important.

Brilliant! I agree with Ted. Back to those Thunder cats videos.. They absolutely will not watch themselves!

Would like to actually see these CNN's first hand but if I'm not missing something on a first quick pass, the amazing results of 2013-2014 are continuing. Major gating barriers that have stymied AGI's are disappearing. This result is cool on its own. But, what really excites is how this provides a key foundational building block for even cooler ideas. When you have sentence structure, it naturally lends itself to many unsupervised NLP and learning tasks. Just wow!