Amit Singhal and I have something in common. He heads up Google’s web search technology, and I am a lowly blogger, but we are united in our deep love for Star Trek.
Specifically, we both want to bring the fascinating technologies of science fiction (and Star Trek in particular) to reality. I’m still trying to get seed money for my replicator, but Singhal is much closer to his own goal: making search an experience as fluid and as powerful as Captain Kirk issuing a verbal query to the Enterprise computer and receiving a flood of relevant information in return.
The Enterprise computer operated on a deep understanding of human meaning, not a human understanding of machine-friendly keywords.
“To build the search engine I dream of, we need to make it truly universal,” Singhal says, “so you can do things that are not possible today.”
To that end, Google is starting to roll out its new Knowledge Graph engineering and design globally. Part of this is a new feature: Google web search can now include your Gmail messages and multimedia in search results. You can sign up now to get early access. If you like Google Search Plus Your World, you’ll likely find this new feature quite useful as well.
The company is also announcing voice-based search for iOS devices. Your searches are verbal and use natural language, and the app talks back to you, giving you verbal results in (more or less) natural language.
Also, the latest Google search field trial will include personalized, enhanced flight-tracking features, so you can see you’re going to be stuck in Newark for a few hours faster than ever before.
What Google is showing off today are a few baby steps, but they’re steps toward previously impossible goals like speech recognition, natural language processing, and true artificial intelligence.
Singhal says we’re not there yet, but just before his talk started, he, Google search guru Matt Cutts, and I were reminiscing about the “good” old days of AltaVista, Lycos, InfoSeek, and HotBot. My first real job involved doing search work at a startup in early 1999; Google wasn’t really a thing at that point, certainly not in sleepy central Virginia. And the search process pre-Google was excruciating, slow, and wildly unrepresentative of the web that existed at the time.
Those reminiscences stand in sharp contrast both to the future Singhal is envisioning and to the present state of web search. Over the past 13 years, we’ve come a lot closer Singhal’s goal of intelligent, human-friendly search, and we’re all excited about where search will go next.
Jack Menzel is one of the Googlers working on making the search engine smarter.
“We can use our understanding of the world to help you with more complicated tasks,” he says. He tells an anecdote about a road trip from the San Francisco Bay Area to Cedar Point, an amusement park in Ohio. Menzel needed some convincing to get in the car for such a long trip, and he puled up a Google search for “Cedar Point” to illustrate his point. In old-school web search, you’d see a list of links for the amusement park; you’d have to click through and copy/paste the names of rides into new searches to get more information on each one. But with Google’s new Knowledge Graph, the search engine’s newest “brain” rolled out a couple months ago, Google returns a map, contact information, specific rides in the park, images and videos, and a lot more — all on the first page of results, all arranged in pretty carousels, scannable boxes, and other information design elements infinitely better for humans than a list of links.
It’s not quite the Enterprise computer, but it’s getting closer. As Menzel told me during the Knowledge Graph launch, “Computers don’t really understand what people are talking about. To a computer, it’s just a string of letters.” Knowledge Graph treats queries as objects rather than strings, and it’s one of Google’s attempts to get closer to human-friendly, artificially intelligent search.
The other big part of Google’s web search evolution is speed. “Do you remember how slow it used to be?” Cutts muses. The Internet was slower, and our connections were slower 13 years ago. We’ve all been accelerating on every front, but Google has an institutional preference for lightning speed. It’s pushing and shoving the web to speed-focused standards, superspeedy Internet, speed-tweaked programming languages. Google is like a stupid teenager with his first car, with only one question on his mind: “How fast can this thing go?”
The bigger the dataset gets and the more we turn to Google for web search, the more urgent the need for speed becomes. Right now, the web has around 30 trillion unique URLs. Google crawls 20 billion pages every day, and we humans use Google to conduct 100 billion searches every month.
That kind of activity requires speed on every level of hardware, software, and even design. Today’s announcements, from the Gmail addition to search to the vocal search app, are all engineered to avoid wasting a millisecond more of your time, to get your head out of your devices, to make partaking in life simpler, to free up your brain for solving bigger problems than finding a movie tonight or finding an email you got last week.
“I dreamt all those dreams as a child,” Singhal says. “Thanks to all the wonderful research and the engineers at Google, we are so much closer to my dream of building the Star Trek computer.”
We know that Google’s still a business, and its primary goal is getting more users, selling more advertising, and making more money. But if it can move us a few more inches closer to Star Trek in that process, that’s okay with me.
This article originally appeared on VentureBeat
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