“Machine Learning for Systems and Systems for Machine Learning”, 2017 (; backlinks; similar):
Slide deck for Google Brain presentation on Machine Learning and the future of ML development processes.
Conclusions: ML hardware is at its infancy. Even faster systems and wider deployment will lead to many more breakthroughs across a wide range of domains. Learning in the core of all of our computer systems will make them better/more adaptive.
There are many opportunities for this.