A new approach to natural language processing (NLP) that teaches neural networks linguistic fundamentals by training them using unsegmented textual input on the interaction between individual letters rather than whole words. Most recurrent neural networks (RNNs) that form the basis of NLP systems are trained on vocabularies of known words. To train RNNs in a way that more closely resembles how humans learn the fundamentals of language, we removed the word boundaries from training data sets and trained the networks at the character (instead of word) level. A multilingual study of this unsupervised character-level language modeling task used data sets of millions of words in English, German, and Italian. It showed that these "near tabula rasa" RNNs develop an impressive spectrum of linguistic knowledge, including segmenting groups of characters into words, distinguishing nouns from verbs, and even inducing simple forms of word meaning.

Science has already begun to explore the potential of artificial intelligence (AI) in medical applications.

Canadian researchers are using artificially generated X-rays to teach AI systems to identify medical conditions. Science has already begun to explore the potential of artificial intelligence (AI) in medical applications. One idea is that AI systems can help improve the process of diagnosing a host of medical conditions by providing a faster, more accurate way of reading X-rays. But it's going to take a while before AI systems are able to interpret X-rays all by themselves. Just like human physicians, these systems need to be trained before they can properly identify conditions by looking at an X-ray.

By Cade Metz SAN FRANCISCO: At OpenAI, the artificial intelligence lab founded by Tesla's chief executive, Elon Musk, machines are teaching themselves to behave like humans. But sometimes, this goes wrong. Sitting inside OpenAI's San Francisco offices on a recent afternoon, the researcher Dario Amodei showed off an autonomous system that taught itself to play Coast Runners, an old boat-racing video game. The winner is the boat with the most points that also crosses the finish line. The result was surprising: The boat was far too interested in the little green widgets that popped up on the screen.

"Every company that has an interest in automating a service has access to or uses some sort of platform like Amazon Mechanical Turk. According to Mary Gray, senior researcher at Microsoft, the firm's UHRS is "very similar" to Amazon Mechanical Turk. Microsoft's Bishop said that in the near-future, AI systems will likely be trained using a mix of human-led, supervised learning and unsupervised learning. A common technique for teaching AI systems to perform these tricky tasks is by training them using a very large number of labeled examples. And there are many other forums, subReddits, and organizing platforms online, as well. "Every company that has an interest in automating a service has access to or uses some sort of platform like Amazon Mechanical Turk.