From robotic replacement limbs to bionic eyes, the next step in human evolution might involve augmenting our bodies with a variety of new technology.
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Category: robotics/AI – Page 2,269
Andrew Ng, one of the world’s best-known artificial-intelligence experts, is launching an online effort to create millions more AI experts across a range of industries. Ng, an early pioneer in online learning, hopes his new deep-learning course on Coursera will train people to use the most powerful idea to have emerged in AI in recent years.
Millions of people should master deep learning, says a leading AI researcher and educator.
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Artificial intelligence can’t understand meaning or emotion just yet, but it can write a pretty good essay on 17th-century maritime trade.
At the 2017 TED Conference this past April, AI expert Noriko Arai gave a talk presenting her Todai Robot, a machine that has been programmed to take the entrance exam to Japan’s most prestigious university, Tokyo University.
While Arai discovered Todai didn’t pass muster to gain acceptance, the robot still beat 80% of the students taking the exam, which consisted of seven sections, including math, English, science, and a 600-word essay writing portion.
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Jianxiong Xiao aims to make self-driving cars as widely accessible as computers are today. He’s the founder and CEO of AutoX, which recently demonstrated an autonomous car built not with expensive laser sensors but with ordinary webcams and some sophisticated computer-vision algorithms. Remarkably, the vehicle can navigate even at night and in bad weather.
AutoX hasn’t revealed details of its software, but Xiao is an expert at using deep learning, an AI technique that lets machines teach themselves to perform difficult tasks such as recognizing pedestrians from different angles and in different lighting.
Growing up without much money in Chaozhou, a city in eastern China, Xiao became mesmerized by books about computers—fantastic-sounding machines that could encode knowledge, logic, and reason. Without access to the real thing, he taught himself to touch-type on a keyboard drawn on paper.
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Artificial Intelligence (AI) is a science and a set of computational technologies that are inspired by—but typically operate quite differently from—the ways people use their nervous systems and bodies to sense, learn, reason, and take action. While the rate of progress in AI has been patchy and unpredictable, there have been significant advances since the field’s inception sixty years ago…
Toby Walsh, Professor Artificial Intelligence, University of NSW Sydney “There’s lots of AI already in our lives. You can already see it on your smartphone every time you use Siri, every time you ask a lexer a question, every time you actually use your satellite navigation. You are using one of these algorithms. You are using some AI that’s recognizing your speech, answering questions, giving you search results recommending books for you to buy on Amazon. They’re the beginnings of AI everywhere in our lives.”
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Cassie — Bipedal Robot
Posted in robotics/AI
Video Friday is your weekly selection of awesome robotics videos, collected by your Automaton bloggers. We’ll also be posting a weekly calendar of upcoming robotics events for the next two months; here’s what we have so far (send us your events!):
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Today we have another video update from the Mouseage team who are working to create the first artificial intelligence-based photographic biomarker of aging in mice. The project aims to provide researchers with a cheap and effective biomarker system that can be used to quickly determine if interventions against the age-related diseases are effective as well as helping to save the lives of lab animals worldwide.
In this episode, Poly Mamoshina is at Oxford University is talking about aging biomarkers and why they are so important for research. Poly is a research scientist at Insilico Medicine in the Pharma AI division which specializes in artificial intelligence-based drug discovery. She is also a part of Computational biology team in Computer Science Department at the University of Oxford, you can learn more about her work here.
What are biomarkers and why are they so important in aging research? Poly explains in this informative video.
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I was honored to be interviewed by Nick Gillespie (editor in chief of Reason.com and Reason TV) in a 40 minute podcast about transhumanism and my run for California Governor as a libertarian. Give it a listen—or read the text of the conversation in the link below: http://reason.com/blog/2017/09/07/transhumanism-libertarianism-zoltan
The “California Dream of Transhumanism” on why he’s pro-robot, running for governor of California, and still angry about getting busted at 18 for selling pot.
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