TensorFlow Lite, a new offshoot of Google’s open-source TensorFlow software for creating machine-learning applications, runs directly on Android devices, enabling features such as new features in Android O that are smart enough, for instance, to notice that the text you’re trying to highlight is an address. It wouldn’t work nearly as smoothly if it had to talk to a server across an internet connection.
“But it’s obvious there are problems we don’t have solutions for.” For instance, as uncannily effective as Google search can be, and despite the power of its knowledge graph, computers don’t truly understand what humans write. Google would like to teach them to “read anything and summarize anything,” Giannandrea says.
Another big challenge is to create machine-learning technologies that can understand facts about the world with less training. Giannandrea notes that his 4-year-old daughter saw an old-school penny-farthing bicycle, knew it was a bike, and–once he’d told her about it–was set to identify penny-farthings from then on. Today’s computers would need a lot more data to learn the same thing.
See the full story here: https://www.fastcompany.com/40422066/googles-ai-chief-on-teaching-computers-to-learn-and-the-challenges-ahead