It's been an incredible week, with 3 major milestones
Microsoft won the image recognition Image-net challenge (see results) with an "extremely deep" network. The difficulty when dealing with such networks is to facilitate information flow and avoid so-called "vanishing gradients". Their approach based on residual learning is detailed in this paper.
Progress in"one-shot" machine learning where algorithms learn representations with very limited training sets. The approach here, called Bayesian Program Learning is detailed in this Science article
Google announced groundbreaking achievements in quantum computing, including a 100-million-fold speed-up over traditional approaches on a specific problem. In the long-term, this could shake up all the AI/ML field.
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