Keynote: An Insider’s Look At Google Research – Peter Norvig

Last night’s SMX After Dark party was kickin’ — thanks Bing!

Oh, and get this. I left my iPhone at the BCI booth and they locked up the expo hall before I realized it. So last night I was feeling a little concerned. You know how it is when A) you don’t have your phone, and B) you think you know where it is, but you’re not sure, so you realize maybe you’re putting your hope in the wrong thing when really you should be looking elsewhere. Ugh!

Luckily the awesome SMX team worked some of their lovely magic and got the convention center security to let me in to get my phone. Thanks so much, Michelle Robbins, Karen DeWeese, and Santa Clara Convention Center Security! This is one happy, mobile-ready blogger!

Now on to the keynote! Peter Norvig, director of research at Google, is beyond impressive. He’s a search pioneer, an author, a rocket scientist and was an “adult partier” in the Nutcracker. And that isn’t even half of the accomplishments moderator Chris Sherman just rattled off. Google and their geniuses.

Keynote: Peter Norvig

Peter will start by presenting a number of Google’s research projects:

  1. Person Finder: really useful after natural disasters
  2. PowerMeter
  3. Earth Engine: shows deforestation of rain forests
  4. Trike and Snowmobile StreetView: taking StreetView to new frontiers
  5. User Photos in StreetView
  6. Image Swirl: see images related to each other
  7. Web-Scale Image Annotation
  8. Image Rotation Captcha: Instead of swirly, hard to read words, they’re experimenting with having users turn an upside-down picture, right-side up.
  9. Goggles: take a picture and get info on it
  10. Discontinuous Video Scene-Carving
  11. Sharing Cluster Data
  12. App Inventor for Android: introductory program development
  13. Speech Recognition
  14. Punctuation/Capitalization in Transcribed Speech
  15. Translating Phone: translate text, Web pages and documents
  16. Low-Resource MT: Yiddish: Some languages don’t have much written text examples, but they used languages that share attributes with Yiddish and were able to figure out translation
  17. Sound Understanding
  18. Google Squared
  19. Clustering
  20. Attribute Extraction
  21. Browser Size

“You can observe a lot just by watching.” -Yogi Berra

Now Danny Sullivan and Chris Sherman will be throwing out questions.

Q: What’s the biggest thing that came out of the 20 percent project?

One story is that both Gmail and Adsense were built by a Googler because he was frustrated he couldn’t search his e-mail. Machine translation is similar. And speech recognition has come so far since its original iteration.

Q: How hands-on are Google’s founders in 20 percent projects?

They’re still involved, but we don’t see them around as much. I don’t think they have their own 20 percent project because their jobs are pretty much 100 percent.

Q: Are your research facilities around the world separated by project or is it you just can’t fit everyone in Mountain View?

It’s both. Some projects you need to have people that are living in the language and culture. Also, sometimes we need more engineers and we can’t hire everyone from the same pool.

Q: What’s the most hyped technology development?

I think the emphasis is on the right place right now. Mobile emphasis is appropriate. Are we going to have hand-curated tags or be able to machine read the content? That’s going to be messy but I don’t think it’s overhyped any more.

PageRank is one thing that’s overhyped. Yes, the PageRank computation is important, but it’s just one of many things. It’s got the catchy name and the name recognition, but we’ve always looked at all the available data. The infrastructure that we built

Q: Is there a difference between core search vs. ads vs. other projects?

Yeah, in some sense there’s a separation of the house, just like at a newspaper they don’t let the ad department effect the editorial department.

Q: If you want to grow up to be a search engineer, how does someone do that? There’s no school for search engineering.

In other industries you can get trained at school and then step into the field quickly. When people are doing information retrieval in college and then come to Google, after a few months they’ll say, wow this is a whole different world than what I did in school. The books coming out now are getting better now, expanding from library science to search.

Q: What’s the training to become a Googler?

There’s a course they start with, then they get put on a starter project. They get experience and lots of help as they get their feet wet.

Q: Do people move around a lot at Google?

We encourage moving around. We try to keep projects short, three or six months. And you find that people will come up with a new idea as they’re working on a project that they want to develop once it’s over. The infrastructure of departments is parallel, which makes it easy to move around.

Q: Anything you’d like to know from our attendees?

How are we doing?

[The audience applauds!]

…I didn’t do this session justice. So much good stuff and my fingers aren’t awake yet or something. Thankfully there’s a whole slew of bloggers covering this session:

Virginia Nussey is the director of content marketing at MobileMonkey. Prior to joining this startup in 2018, Virginia was the operations and content manager at Bruce Clay Inc., having joined the company in 2008 as a writer and blogger.

See Virginia's author page for links to connect on social media.

Comments (3)
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3 Replies to “Keynote: An Insider’s Look At Google Research – Peter Norvig”

Thank you Susan!!

Great job done on SMX keynotes for those like me, that are so far away from there…reading you actually from Spain!!

Thanks again
Jose

Hi Virginia!!

Thank you for the great Peter Norvig’s point notes.
Please, check number 13 I believe you meant Speech Recognition or really is speed recognition…umm interesting.

Is it any video feed or recorded video of it?

Thanks a lot!!

Susan Esparza

You’re right, that should be Speech Recognition. Updated.

I believe WebProNews is streaming the conference.

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