An artificial intelligence system developed by the NHS and Google could dramatically speed up diagnosis times for women with breast cancer, a study suggests. The "deep learning" system outperformed human experts in detecting breast cancer from x-rays. Integrating the system into Britain's breast cancer screening process -- in which a mammogram is read by two NHS radiologists -- could reduce the second reader's workload by nearly 90 per cent, according to the study. Women between the ages of 50 and 71 are invited to receive a mammogram on the NHS every three years. An x-ray of the breast tissue is used to look for abnormal growths or changes that may be cancerous.

Coming soon...a Google AI heart disease test?! That's right, Google is applying artificial intelligence to predict something deadly serious: the likelihood of a patient having a heart attack or stroke. See, your eyes reveal a lot about your health. Doctors can look right into your eyes and see signs of any number of diseases like diabetes, and high blood pressure. Google just combined that reality with technology to take the diagnostic potential to another level. Using its algorithms to predict which patient within five years would actually have a heart attack or other major cardiovascular event, and which patient would not.

Remember (vaguely) how you learned to walk, talk, ride a bike, or drive? It was messy and full of mistakes, but the skills you learned that way stayed. Outside of living systems, it's been challenging to structure strong enough algorithms to take in "real life experience" and develop sticky, adaptable behaviors for artificial intelligence. "It starts from a blank slate and figures out only for itself, only from self-play, and without any human knowledge, or any human data, or features, or examples, or intervention from humans. It discovers how to play the game of Go from first principles," says DeepMind's professor David Silver.

Here's one proof that artificial intelligence is moving closer to replacing more human jobs. Search giant Google this week introduced AI Duet. It's an experiment that uses machine learning to respond to your music. In a video (which I embedded below), Mann explains that the project is using neural networks and machine learning to create a map for responding to musical notes. Apparently, mapping for musical notes would have been created by a computer developer with a degree or musical background.

Google's artificial neural network has some explaining to do. Google's servers drive the much of the world's data, and apparently, they dream as well, according to a Google blog post by two Google software engineers and an intern. Google's artificial neural networks (ANNs) are stacked layers of artificial neurons (run on computers) used to process Google Images. To understand how computers dream, we first need to understand how they learn. In basic terms, Google's programmers teach an ANN what a fork is by showing it millions of pictures of forks, and designating that each one is what a fork looks like.