In some trials, "deep learning" systems have outperformed human experts.
Deep learning systems will become easier to use and more widely available.
Finlayson, S. et al. Adversarial attacks against medical deep learning systems.
For some tasks, the best deep learning systems are pattern recognizers on par with people.
"Deep learning" systems such as AlphaGo are fascinating precisely because we don't really know what's going on inside them.
In this talk, I present my research on adversarial examples in deep learning systems.
These distinct foci would make it very difficult to embed deep learning systems into current clinical practice.
Classifying small limited datasets through deep learning systems is a major challenge and should be investigated.
Today, one of the biggest challenges in computer science is the amount of training data that deep learning systems require.
Deep learning systems do not explain how they make their decisions, and that makes them hard to trust.
Deep learning systems are deployed everywhere from self-driving cars to content filtering, search, and medical image analysis.
