Mother Jones
<!DOCTYPE html PUBLIC “-//W3C//DTD HTML 4.0 Transitional//EN” “http://www.w3.org/TR/REC-html40/loose.dtd”>
A little while back I mentioned that Google Translate had gotten a lot better overnight when they switched to a new machine-learning algorithm. Their voice recognition got better too. And so did its question-answering capability.
I was chatting about this at Christmas with my family, and we all decided we should test it. But not with anything boring. We know that Siri and Google and other digital assistants can find nearby coffee shops or tell us the weather in Berlin. How about something harder? The conversation then morphed into something about pencils, and my mother said she only trusted erasers that are pink. But why are they pink, we wondered? Why indeed?
So there you have it? Not only did Google understand me, even with a cold, but it also understood the question and provided a brief and precisely on-point answer, which it read off very nicely. Impressive!
Anyway, this strikes me as close to Watson-esque. The thing is, this is not as simple a question as it seems. It requires a fairly sophisticated understanding of context and meaning. And finding a source that matches the question perfectly is also pretty amazing. If my phone can do that, how long before it can drive a car too?
View post –
