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Google's AI Can Make Its Own AI Now

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Artificial intelligence is advanced enough to do some pretty complicated things: read lips, mimic sounds, analyze photographs of food, and even design beer. Unfortunately, even people who have plenty of coding knowledge might not know how to create the kind of algorithm that can perform these tasks. Google wants to bring the ability to harness artificial intelligence to more people, though, and according to WIRED, it's doing that by teaching machine-learning software to make more machine-learning software.

The project is called AutoML, and it's designed to come up with better machine-learning software than humans can. As algorithms become more important in scientific research, healthcare, and other fields outside the direct scope of robotics and math, the number of people who could benefit from using AI has outstripped the number of people who actually know how to set up a useful machine-learning program. Though computers can do a lot, according to Google, human experts are still needed to do things like preprocess the data, set parameters, and analyze the results. These are tasks that even developers may not have experience in.

The idea behind AutoML is that people who aren't hyper-specialists in the machine-learning field will be able to use AutoML to create their own machine-learning algorithms, without having to do as much legwork. It can also limit the amount of menial labor developers have to do, since the software can do the work of training the resulting neural networks, which often involves a lot of trial and error, as WIRED writes.

Aside from giving robots the ability to turn around and make new robots—somewhere, a novelist is plotting out a dystopian sci-fi story around that idea—it could make machine learning more accessible for people who don't work at Google, too. Companies and academic researchers are already trying to deploy AI to calculate calories based on food photos, find the best way to teach kids, and identify health risks in medical patients. Making it easier to create sophisticated machine-learning programs could lead to even more uses.

[h/t WIRED]

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The Long Now Foundation, Vimeo
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Jeff Bezos Is Helping to Build a Clock Meant to Keep Time for 10,000 Years
The Long Now Foundation, Vimeo
The Long Now Foundation, Vimeo

Few human inventions are meant to last hundreds of years, much less thousands. But the 10,000 Year Clock is designed to keep accurate time for millennia. First proposed in 1989, the long-lasting timepiece is finally being installed inside a mountain in western Texas, according to CNET.

The organization building the clock, the Long Now Foundation, wanted to create a tribute to thinking about the future. Founded by computer scientist Danny Hillis and Whole Earth Catalog publisher Stewart Brand, the group boasts famous members like musician Brian Eno and numerous Silicon Valley heavyweights. Amazon founder Jeff Bezos is putting up the $42 million necessary to complete the project, writing that “it's a special Clock, designed to be a symbol, an icon for long-term thinking."

Measuring 500 feet tall when it's completed, the clock will run on thermal power and synchronize each day at solar noon. Every day, a “chime generator” will come up with a different sequence of rings, never repeating a sequence day to day. On specific anniversaries—one year, 10 years, 100 years, 1000 years, 10,000 years—it will animate a mechanical system within one of five rooms carved into the mountain. On the first anniversary, for instance, the clock will animate an orrery, a model of the solar system. Since they don’t expect to be alive for many of the future anniversaries, the clock’s creators won't determine animations for 100, 1000, or 10,000 years—that'll be left up to future generations. (To give you an idea of just how far away 10,000 years is, in 8000 B.C.E., humans had just started to domesticate cows for the first time.)

Though you can sign up to be notified when the clock is finished, it won’t be easy to see it up close. The nearest airport is several hours’ drive away, and the mountain is 2000 feet above the valley floor. So you may have to be content with seeing it virtually in the video below.

Clock of the Long Now - Installation Begins from The Long Now Foundation on Vimeo.

[h/t CNET]

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Barbie Is Now Giving Coding Lessons
Tynker
Tynker

Mattel wants to help 10 million kids learn to code by 2020, and the toy giant is enlisting one of its most career-focused assets: Barbie. According to Engadget, Mattel is working with the coding education company Tynker to make seven Barbie-themed computer programming lessons.

Barbie has been a pilot, an architect, the president, and a computer engineer, so there may be no better character to teach kids the joys of coding. The lessons, arriving in summer 2018, will be designed for youngsters in kindergarten and up, and will teach Barbie-lovers more than just how to make apps. They’ll use Barbie’s many careers—which also included veterinarian, robotics engineer, and astronaut—as a way to guide kids through programming concepts.

An illustration depicts Barbie and her friends surrounded by cats and dogs and reads 'Barbie: Pet Vet.'

A screenshot of a Barbie coding lesson features a vet's office full of pets.

There are plenty of new initiatives that aim to teach kids how to code, from a Fisher-Price caterpillar toy to online games featuring Rey from Star Wars. This is the third partnership between Mattel and Tynker, who have already produced programming lessons using Hot Wheels and Monster High.

Kindergarten may seem a little soon to set kids on a career path as a computer programmer, but coding has been called “the most important job skill of the future,” and you don’t need to work for Google or Facebook to make learning it worthwhile. Coding can give you a leg up in applying for jobs in healthcare, finance, and other careers outside of Silicon Valley. More importantly for kids, coding games are fun. Who wouldn’t want to play Robotics Engineer Barbie?

[h/t Engadget]

All images by Tynker

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