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"Google subsidiary DeepMind has accomplished some amazing things over the past couple of years, from beating humans at their own game to saving its parent company money on its electricity bill. Now, however, it's coming under major scrutiny because of the specifics of a deal with the United Kingdom's National Health Service."

Our local hospital is part of the Royal Free Trust (the body that gave Deepmind MY data). The trust has never consulted me on this. I don't care whether it has a legal duty to do so or not, I believe it has a moral obligation to tell me what it is doing and why. Deepmind may have altruistic public health motives (hmmm), but this silence is destroying trust (pardon the pun). It's about time the data Ombudsmen did their job.

Many companies are seeing that the future of deep learning is here, and that it doesn't require a lot of money or resources to take advantage of this new industrial science. IBM's Watson Analytics offers a freemium service that allows you to upload up to 500MB, and enables you to explore your own real-life applications for deep learning. Inputting Google Adwords or other sales metrics into this tool can help even startup companies find relational and predictive information in their data.

Amazon Web Services announced that it was selling to the public the same kind of software it uses to figure out what products Amazon puts in front of a shopper, when to stage a sale or who to target with an email offer. The techniques, called machine learning, are applicable for technology development, finance, bioscience or pretty much anything else that is getting counted and stored online these days. In other words, almost everything.

What if you could structure the content of a web page based on how humans actually read those pages, Tung asked back in 2008 when he founded Diffbot?