In the end, I suppose it's less interesting to me to look at the sheer amount of machine learning hype than at its content. Like, almost everyone in the 1950s knew that computers were going to be important, and of course they were right, but they were often wildly wrong about the reasons (e.g., dramatically underestimating the difficulty of humanoid robots, while failing to foresee PCs or the Internet). There's no doubt in my mind that people 30 years from now will agree with us about the central importance of ML, but which aspects of ML will they rage at us for ignoring, or laugh at us for obsessing about when we shouldn't have? I don't know the answers to those questions, but I know that those are the things I'd like to know.

In contrast, unsupervised learning systems freely analyze'patterns' in unlabeled data, with no corresponding error or reward linked to a conclusion. It works with'unlabeled data' and is similar to'associative' or'discovery' learning in humans, something that we do very well (and often take for granted). For example, when an unsupervised system is asked to sort or arrange fruits based on raw observations, the system might'choose' to arrange the fruit based on recognition of color, placing strawberries and cherries in the'red' category; or, the system might sort based on observed sizes, grouping pears, apples, and oranges in a'medium-sized' fruit category. This latter method is commonly known as'clustering' and the accepted approach used by these systems to categorize information. Unsupervised learning is a stepping stone, a means to another end such as categorization or finding potential correlations or solutions unable to be spotted by humans or supervised learning systems alone.

The core uses for Wear so far are glanceable information, messaging and fitness. Each of those parts of the OS have been improved, but the changes actually reach far beyond just that. "For the very first time, we've been able to take a holistic pass across the design of the entire system and UI to really hone and tune the interactions around key things that people want to do," Singleton says. Some of the most profound changes to Wear come under messaging, so let's start there. Many of the changes Singleton outlined go far beyond messaging apps, most notably notifications in general.

Finally, you can create an image of your model structure directly.

Google today introduced its own personal digital assistant called, aptly, the Google Assistant. It's based on existing technology, including Google Now. The assistant will power Google's upcoming Amazon Echo competitor, Google Home. Speaking at the beginning of the keynote at the Google I/O developer conference in Mountain View, California, Google chief executive Sundar Pichai described the technology as "a conversational assistant" that can carry on "an ongoing two-way dialogue." "We want to be there for our users asking them, 'How can I help?'"

The Alphabet Inc. division unveiled a new mobile messaging application Wednesday called Allo containing a digital personal assistant, based on AI technology that powers other Google services like Inbox. At its I/O developer conference near its Silicon Valley headquarters, the company also showed off a voice-based search device called Google Home that uses the same assistant technology to answer questions when people are in their houses, a potentially potent rival to Amazon.com Google CEO Sundar Pichai said the goal is to develop an "on-going two-way dialog with Google" and build billions of people their own "individual Google." The CEO sees the Google digital assistant as an "ambient experience that extends across devices." Google became one of the world's most valuable companies by making a search engine that sucks in billions of queries people type into web browsers on PCs and phones.

While Apple (AAPL) has Siri, its AI-based digital assistant for iPhones, it has yet to introduce a home hub device. Amazon, though, has sold an estimated 3 million Echo home hubs. "Credit to the team at Amazon for creating a lot of excitement in this space," Google CEO Sundar Pichai said in his I/O keynote speech Wednesday. Google Home, designed for music streaming and other entertainment, features built-in search capabilities. The "virtual agent" answers simple questions and carries out basic tasks.

Despite spinning off an Alphabet-soup of divisions, the Google mothership remains a sprawling company, so it's unsurprising that its annual developer's conference covers a continent of territory. In a two-hour-long keynote, the company took the audience on a tour of its upcoming tools and technologies. Here's a quick trip through what you missed. And don't forget to check out our in-depth analysis: A glimpse inside Google's VR Daydream, One Android to rule them all? A global on-line paper-airplane game and, to quote one our live-bloggers, "video of lots of happy people doing weird things" leading up to the event set the tone, and as usual began with a recap of how Google's evolved and how well it's doing.

LAS VEGAS--Cutting-edge artificial intelligence (AI) technologies are the keys to delivering richer, more sophisticated shopping experiences, eBay Chief Product Officer RJ Pittman said during a presentation Tuesday here at the Shoptalk 2016 retail conference. "I've yet to see great, personalized shopping experiences at scale," Pittman said. "We think there's huge opportunities to move forward through AI, machine learning and predictive modeling." Pittman cited the potential commerce benefits to be gained from AI technologies like natural language understanding, which enables software systems to understand human speech as it is spoken. For example, by processing the information in a shopper statement like "Going with my wife on a camping trip in Tahoe next month, need a tent," eBay would automatically suggest a tent large enough for two people that's also appropriate for Tahoe's altitude and average temperatures in June.

Google usually picks desserts including Marshmallow and Gingerbread. "Please don't call it Namey McNameface," says Burke.