Talks at Google we fell for this fall

Talks at Google we fell for this fall

Editor’s Note: Talks at Google is our common speaker collection that brings fascinating audio system and sensible minds from all industries and backgrounds to Google campuses. Each month, we choose just a few favourite talks from that month, or a couple of specific matter.

In November, we cracked the code on classical music, went deep on economics and historical past, and soared excessive with a speak about Mars (and that’s not even the science-fiction half). Check out just a few of our favourite Talks at Google from November.

Former Googler Laura Lark shares what it was prefer to be on the fifth HI-SEAS (Hawai’i Space Exploration Analog and Simulation) mission. Designed to check human habits and efficiency, the mission helps NASA decide the person and crew necessities for long-duration house exploration missions—together with journey to Mars.

Laura Lark: "Mission to Mars"

An AI Resident at work: Suhani Vora and her work on genomics

Suhani Vora is a bioengineer, aspiring (and self-taught) machine studying skilled, SNES Super Mario World ninja, and Google AI Resident. This implies that she’s a part of a 12-month analysis coaching program designed to jumpstart a profession in machine studying. Residents, who’re paired with Google AI mentors to work on analysis initiatives based on their pursuits, apply machine studying to their experience in numerous backgrounds—from laptop science to epidemiology.

I caught up with Suhani to listen to extra about her work as an AI Resident, her typical day, and the way AI can assist remodel the sector of genomics.

Phing: How did you get into machine studying analysis?

Suhani: During graduate college, I labored on engineering CRISPR/Cas9 programs, which allow a variety of analysis on genomes. And although I used to be working with probably the most environment friendly instruments out there for genome enhancing, I knew we may make progress even sooner.

One necessary issue was our restricted potential to foretell what novel organic designs would work. Each design cycle, we have been solely utilizing very small quantities of beforehand collected information and relied on particular person interpretation of that information to make design choices within the lab.

By failing to include extra highly effective computational strategies to make use of massive information and help within the design course of, it was affecting our potential to make progress shortly. Knowing that machine studying strategies would drastically speed up the velocity of scientific discovery, I made a decision to work on discovering methods to use machine studying to my very own area of genetic engineering.

I reached out to researchers within the area, asking how finest to get began. A Googler I knew prompt I take the machine studying course by Andrew Ng on Coursera (couldn’t suggest it extra extremely), so I did that. I’ve by no means had extra enjoyable studying! I had additionally began auditing an ML course at MIT, and studying papers on deep studying purposes to issues in genomics. Ultimately, I took the plunge and and ended up becoming a member of the Residency program after ending grad college.  

Tell us about your position at Google, and what you’re engaged on proper now.

I’m a cross-disciplinary deep studying researcher—I analysis, code, and experiment with deep studying fashions to discover their applicability to issues in genomics.

In the identical manner that we use machine studying fashions to foretell the objects are current in a picture (suppose: trying to find your canines in Google Photos), I analysis methods we are able to construct neural networks to mechanically predict the properties of a DNA sequence. This has all types of purposes, like predicting whether or not a DNA mutation will trigger most cancers, or is benign.

What’s a typical day like for you?

On any given day, I’m writing code to course of new genomics information, or making a neural community in TensorFlow to mannequin the information. Right now, numerous my time is spent troubleshooting such fashions.

I additionally spend time chatting with fellow Residents, or a member of the TensorFlow group, to get their experience on the experiments or code I’m writing. This may embody a gathering with my two mentors, Mark DePristo and Quoc Le, high researchers within the area of machine studying who frequently present invaluable steering for growing the neural community fashions I’m thinking about.

Meet just a few of our machine studying makers

Meet just a few of our machine studying makers

From reinventing your smartphone to serving to you play rock-paper-scissors, AI is altering the way in which we use expertise at this time. And whereas we hear about all the brand new issues we’re capable of do due to machine studying, we don’t all the time hear concerning the individuals shaping machine studying itself. Who are they? What impressed them to get into the sphere? And what do they geek out about in relation to AI?

To reply a few of these questions, we went behind the scenes with the Google Brain crew, a analysis group that’s a part of Google AI. The Brain crew works on deep studying analysis, a sub-field of machine studying targeted on neural networks. For the non-researchers amongst us, a neural community is a type of machine studying mannequin that makes use of uncooked types of information to know patterns and ideas. Neural networks deal with tough issues in laptop imaginative and prescient, speech recognition, language understanding, and plenty of different areas.

You can expertise among the Brain crew’s work for your self by utilizing merchandise like Google Photos or Translate, or by attempting out our open-source machine studying framework, TensorFlow. The crew additionally does common analysis within the area of AI and explores how you can apply this expertise to new areas like healthcare, robotics, and even music and artwork.

Watch under to listen to extra from the crew concerning the fundamentals of machine studying, puzzles, and one researcher’s hope for utilizing AI as her back-up band.

The Google Brain team

The She Word: Tory Voight’s climb by way of her profession

The She Word: Tory Voight’s climb by way of her profession

Editor’s be aware: Last week we hosted a Women who VRock panel on the Google Pop Up area in Los Angeles, bringing collectively ladies throughout the VR business. Tory Voight, a engineering program supervisor on the Google AR/VR group (and oil painter and rock climber on the aspect), moderated the dialogue. Today shares her personal perspective for the She Word, our Keyword sequence centered on superb ladies at Google.


Women who VRock

How do you clarify your job at a cocktail party?


I work carefully with engineers and creators to dream up new concepts and methods to make use of VR. I spend most of my time constructing the Artist in Residency (AiR) program, which engages creators to make use of our merchandise in new methods and supply helpful product suggestions to push VR ahead.  

What recommendation would you give to ladies beginning out of their careers?

If you’re excited about one thing, don’t hesitate to succeed in out. Many nice relationships, classes, and even job positions have resulted from doing simply that. Back in 2015, I contacted the VR group and supplied to lend 20 p.c of my time to assist out with Cardboard. I did that for just a few months, and ultimately acquired a full time job on the group. If I had by no means despatched that first e-mail, I wouldn’t have ended up the place I’m now. Offering to assist with tasks helps you perceive the sector you wish to be in—and what to anticipate.

Who has been a robust feminine affect in your life?

From an early age, it was my mom, a single mum or dad of 5 youngsters who labored two and even three jobs to assist our household. I discovered the worth of perseverance by way of the adversity we confronted collectively, and thru all of the fantastic ladies I met in our numerous jobs—from cleansing homes, to working in a truck cease Wendy’s. They encourage me to offer again in my profession as a purpose-driven particular person, and to work for an organization like Google that builds instruments to democratize experiences and alternatives, no matter one’s background. That’s why I’m so enthusiastic about VR merchandise we’re constructing—they offer individuals entry to experiences.

You’ve talked about that giving again is necessary. How do you give again to the neighborhood?


Tory and Sookie on the prime. Red Rock Canyon National Conservation Area, NV.

As a rock climber, I like volunteering for the Yosemite Climbers Association’s “Facelift” program. I assist decide up trash round Yosemite Valley (volunteers have collected greater than 10 tons of trash over the previous 14 years!), and I really feel like this small contribution makes the park extra fulfilling for everybody.

I additionally spend time mentoring younger ladies in highschool and school. When I used to be their age, I had no thought what I needed to be after I grew up—larger schooling and a profession appeared like an unobtainable, summary thought for a child from my background. Now I wish to take my expertise and assist them perceive what to anticipate and encourage them, regardless of any perceived odds or obstacles. I give again in honor of all of the people who pushed me suppose I may do something, even when it appeared insurmountable on the time.

What’s an expertise you’ve had in VR that actually had an impression on you?

“This is Bears Ears National Park” opened my eyes to how VR can be utilized to tell and construct empathy over a difficulty. The park is stunningly lovely, however continues to face quite a lot of political and environmental threats. And as a result of I like being outdoor, this content material had a very sturdy impression on me. I’m proud that we’re lending a hand to Bears Ears by way of our Jump Start program, which pairs filmmakers with the sources to create their very own tales in VR.

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What do you discover most difficult about working in VR? 

The thrilling and the difficult factor about VR is that it’s nonetheless in its technical infancy. We’re in a brand new subject the place there aren’t essentially solutions. We have to search out them and validate them, and we’re studying on a regular basis. That’s why packages like AiR, and taking consumer suggestions to coronary heart whereas we play with ideas, are necessary.

Why is it necessary to have all kinds of individuals and artists discover VR as a medium?

For the previous yr, I’ve labored carefully with artists from totally different disciplines and mediums—graffiti artists, painters, illustrators, graphic designers, and cartoonists—within the AiR program. When constructing merchandise, a various set of voices is important to making sure that these merchandise are pleasant and helpful for everybody—a profitable product merely can’t be achieved from a homogeneous environment.

This article sources info from The Keyword

October Talks at Google: a month of celeb sightings

October Talks at Google: a month of celeb sightings

It was a star-studded month for Talks at Google, our very personal speaker collection. A number of celebs stopped by to speak about what they’re as much as on the display and the stage. Check them out under: 

Reese Witherspoon, Jon Rudnitsky, and Hallie Meyers-Shyer visited Google NYC to speak about their new film “Home Again.” The interview reveals the celeb historical past behind the home the place the film was filmed, Reese’s mission to “present a lady she may be the middle of her personal story” in addition to the story behind why Reese began her personal manufacturing firm.

Reese Witherspoon, Jon Rudnitsky, and Hallie Meyers-Shyer stop by Google NYC to talk about their new movie "Home Again.”

How Google Hangouts helped us scale one of our Googleyest programs

How Google Hangouts helped us scale one of our Googleyest programs

Editor’s note: This is the second article in a five-part series on Google Hangouts. Read the first article here.

Noam Chomsky

We have a program at Google called Talks at Google where we invite influential scientists, activists, inventors and more to speak with Google employees. From Noam Chomsky to Leymah Gbowee, my colleagues and I are lucky enough to have listened to some enlightening perspectives. (And you can, too!). I was among a group of volunteers who helped kick-start the program.

What makes the Talks at Google a great example of our company culture—of “Googleyness”—is how it began. It started with a few events per year and morphed into a speaker series with more than 50 talks per month, thanks to our volunteers and, especially, Google Hangouts.

Cobbling together technology to share stories

After seeing the success of Zeitgeist, a group of Googlers and I set out to create an internal speaker series for employees. We started in 2005 with events hosted just at our Mountain View headquarters, but quickly realized that wasn’t enough. It’s a big part of our company culture to make resources available to all employees. So we experimented with outsourced video conferencing (VC) technology to broadcast talks to other offices.

Hangouts #2 gif

With growing demand, we quickly realized it’s one thing to secure interest and speakers, but it’s another to ensure the technical infrastructure needed to actually scale the program globally.

In 2008, this became apparent. We arranged for linguist Noam Chomsky to speak, one of our most anticipated talks to date. Because our Boston office was new at the time, we cobbled together outsourced VC equipment—a Googler delivered it to us from our New York office. We hosted Professor Chomsky in a cafe and unplugged the refrigerators to cut back on background noise.

In 2008, this became apparent. We arranged for linguist Noam Chomsky to speak, one of our most anticipated talks to date. Because our Boston office was new at the time, we cobbled together outsourced VC equipment—a Googler delivered it to us from our New York office. We hosted Professor Chomsky in a cafe and unplugged the refrigerators to cut back on background noise.

Scaling Talks at Google with Hangouts

Talks at Google required a better technical solution. Thankfully, Google decided to build its own VC platform around the same time: Hangouts. Hangouts gave us the tools we needed to scale our program with minimal resources. It helped us meet employee demand, and, more importantly, afforded us the opportunity to include more diverse perspectives in our talk series.

In 2011, we tested an early iteration of Hangouts with Game of Thrones author, George R.R. Martin, and livestreamed Talks at Google for the first time to the outside world on YouTube. More than 25 Google offices tuned in to hear Martin talk about House Targaryen and the White Walkers, and the event went off without a hitch.

Now, we can do all of this within Hangouts Meet, which lets us live stream to global teams, and has advanced audio / video capabilities, so we no longer have to worry about unplugging refrigerators.

Transforming our company culture

Google is full of incredible individuals who do remarkable work, including engineers who reimagine how businesses do business. But technology in the workplace is most powerful if it can help us accomplish things we never thought were possible while remaining true to our company values.

Looking back, Hangouts helped us scale Talks at Google and unite our teams under one common interest: listening and learning from the best minds in the world. Work programs like these help us bridge geographies, expertise and cultures, and in turn, transform how we work together to help us create more meaningful products for our customers. And this is starting to catch on at other businesses, too. Companies like Woolworths and Braintree are using Hangouts Meet to transform how their teams collaborate.

It all started with an idea and a few passionate Googlers.

This article sources information from The Keyword