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11:03
89 087

A delightful way to teach kids about computers

Computer code is the next universal language, and its syntax will be limited only by the imaginations of the next generation of programmers. Linda Liukas is helping to educate problem-solving kids, encouraging them to see computers not as mechanical, boring and complicated but as colorful, expressive machines meant to be tinkered with. In this talk, she invites us to
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13:47
84 025

What time is it on Mars?

Nagin Cox is a first-generation Martian. As a spacecraft engineer at NASA's Jet Propulsion Laboratory, Cox works on the team that manages the United States' rovers on Mars. But working a 9-to-5 on another planet — whose day is 40 minutes longer than Earth's — has particular, often comical challenges.
07:03
73 030

Easy DIY projects for kid engineers

TED Resident Fawn Qiu designs fun, low-cost projects that use familiar materials like paper and fabric to introduce engineering to kids. In this quick, clever talk, she shares how nontraditional workshops like hers can change the perception of technology and inspire students to participate in creating it.
21:34
15 249

The mind behind Linux

Linus Torvalds transformed technology twice — first with the Linux kernel, which helps power the Internet, and again with Git, the source code management system used by developers worldwide. In a rare interview with TED Curator Chris Anderson, Torvalds discusses with remarkable openness the personality traits that prompted his unique philosophy of work, engineering
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12:43
12 267

Teach girls bravery, not perfection

We're raising our girls to be perfect, and we're raising our boys to be brave, says Reshma Saujani, the founder of Girls Who Code. Saujani has taken up the charge to socialize young girls to take risks and learn to program — two skills they need to move society forward. To truly innovate, we cannot leave behind half of our population, she says. "I need each of you to
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04:28
1 094

The jobs we'll lose to machines — and the ones we won't

Machine learning isn't just for simple tasks like assessing credit risk and sorting mail anymore — today, it's capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future?
08:48
124

How I'm fighting bias in algorithms

MIT grad student Joy Buolamwini was working with facial analysis software when she noticed a problem: the software didn't detect her face — because the people who coded the algorithm hadn't taught it to identify a broad range of skin tones and facial structures. Now she's on a mission to fight bias in machine learning, a phenomenon she calls the "coded gaze." It's an
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