Usually, “Apple limits beta testing mostly to internal users and selected developers. It can get away with this because the real-world combinations of Mac or iOS hardware and software are orders of magnitude simpler than in the Windows world,” Steven Wildstrom writes for Tech.pinions.
“Siri is very different. The artificial intelligence engine behind the service lacks any inherent understanding of language. It has to be trained to make connections, to extract meaning from a semantic jumble,” Wildstrom writes. “To even get to the databases and search tools Siri uses to answer question, it first must contract a query from the free-form natural language that humans begin mastering long before they can talk, but which machines find daunting.”
Wildstrom writes, “The secret to machine learning is feedback. I expect that Siri carefully logs every failed query, along with what the user does next. And algorithmic analysis of those logs, combined perhaps with some human intervention, means that every mistake contributes to the process of correction. In other words, Siri learns from its errors and the more people use it, the faster it will get better.”
Much more in the full article – recommended – here.
iMajenta 