Google researchers developed a way to peer inside the minds of deep-learning systems, and the results are delightfully weird. What they did: The team built a tool that combines several techniques to provide people with a clearer idea of how neural networks make decisions. Applied to image classification, it lets a person visualize how the network develops its understanding of what is, for instance, a kitten or a Labrador. The visualizations, above, are ... strange. Why it matters: Deep learning is powerful--but opaque.
New research from Google shows how machine learning could one day be used to detect signs of lung cancer earlier than often occurs today. Early warning: Danial Tse, a researcher at Google, developed an algorithm that beat a number of trained radiologists in testing. Tse and colleagues trained a deep-learning algorithm to detect malignant lung nodules in more than 42,000 CT scans. The resulting algorithms turned up 11% fewer false positives and 5% fewer false negatives than their human counterparts. The work is described in a paper published in the journal Nature today.
Want to feel really depressed about the likely impact of climate change? AI can help with that. A new research paper shows how machine-learning trickery can highlight the ravages of climate change--by revealing how a property is likely to be harmed by rising sea levels, fiercer storms, and other disasters that it's expected to worsen. Changes afoot: The researchers used an increasingly popular technique to automatically conjure up submerged and damaged properties. As they write in their paper: "The eventual goal of our project is to enable individuals to make more informed choices about their climate future by creating a more visceral understanding of the effects of climate change."
Andrew Ng, in discussion with MIT Technology Review's Will Knight, closes EmTech Digital with advice on how to chart your own path forward in the AI Era. Dr. Andrew Ng is the founder and CEO of Landing AI and deeplearning.ai As the former chief scientist at Baidu and the founding lead of Google Brain, he led the AI transformation of two of the world's leading technology companies. A longtime advocate of accessible education, Dr. Ng is the cofounder of Coursera and founder of deeplearning.ai, He is also an adjunct professor in Stanford University's computer science department.
In the past 18 months, we have seen a huge rise in the interest of AI development and activation. Countries are developing national strategies, and companies are positioning themselves for the fourth industrial revolution. With this pervasive push of AI, comes also an increased awareness that AIs should act in the interest of a human - and this is not as trivial as one might think. This article provides an overview of several key initiatives that propose ways on approaching AI ethics, regulation and sustainability. As this is a fast evolving field, I aim to update this article regularly.