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Archive for the ‘robotics/AI’ category: Page 2127

Nov 29, 2016

Disney’s new animatronic robots are getting too realistic for me

Posted by in categories: entertainment, robotics/AI

Disney will soon be opening a new Avatar-themed experience in Disneyworld Florida, and a group of the brand’s biggest fans got to see a preview last week.

One of the highlights of the ride are the ridiculously realistic Na’vi robots that talk to the visitors. The movie’s CGI already looked stunning, but these animatronics are just ridiculously realistic.

Disney’s Imagineering team has been experimenting with various ways to bring its famous characters to life, like mixing animatronics with digital screens and hopping one-legged robots.

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Nov 29, 2016

MIT Creates AI Able to See Two Seconds Into the Future

Posted by in categories: futurism, robotics/AI

On Monday, the Massachusetts Institute of Technology announced its new artificial intelligence. Based on a photograph alone, it can predict what’ll happen next, then generate a one-and-a-half second video clip depicting that possible future.

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Nov 28, 2016

Brain Implants that Augment the Human Brain Using AI

Posted by in categories: bioengineering, biotech/medical, genetics, robotics/AI

https://youtube.com/watch?v=ySsv5-jSqss

BMI implant leveraging AI.


You probably clicked on this article because the idea of using brain implants to allow artificial intelligence (AI) to read your brain sounds futuristic and fascinating. It is fascinating, but it’s not as futuristic as you might think. Before we start talking about brain implants and how to augment the human brain using AI, we need to put some context around human intelligence and why we might want to tinker with it.

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Nov 28, 2016

An introduction to the Microsoft Bot Framework

Posted by in category: robotics/AI

By Gary Pretty, Technical Strategist, Mando Group

It seems like bots are everywhere these days, with more and more popping up every day. From bots that help us tag people on Facebook to simple Twitter bots that respond to our tweets.

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Nov 28, 2016

Autonomous Vehicles: Imagining the Day-to-Day of the Future

Posted by in categories: robotics/AI, transportation

What might life be like once autonomous vehicles populate the roads? With the help of colleague Timothy Bonds, RAND’s Nidhi Kalra described what may occur when autonomous vehicles “democratize transportation.” Read our recap from #PoliticsAside: r.rand.org/326y

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Nov 28, 2016

Researchers may have uncovered an algorithm that explains intelligence

Posted by in categories: information science, mathematics, neuroscience, robotics/AI

What if a simple algorithm were all it took to program tomorrow’s artificial intelligence to think like humans?

According to a paper published in the journal Frontiers in Systems Neuroscience, it may be that easy — or difficult. Are you a glass-half-full or half-empty kind of person?

Researchers behind the theory presented experimental evidence for the Theory of Connectivity — the theory that all of the brains processes are interconnected (massive oversimplification alert) — “that a simple mathematical logic underlies brain computation.” Simply put, an algorithm could map how the brain processes information. The painfully-long research paper describes groups of similar neurons forming multiple attachments meant to handle basic ideas or information. These groupings form what researchers call “functional connectivity motifs” (FCM), which are responsible for every possible combination of ideas.

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Nov 28, 2016

MIT’s deep-learning software produces videos of the future

Posted by in categories: information science, robotics/AI, transportation

When you see a photo of a dog bounding across the lawn, it’s pretty easy for us humans to imagine how the following moments played out. Well, scientists at MIT have just trained machines to do the same thing, with artificial intelligence software that can take a single image and use it to to create a short video of the seconds that followed. The technology is still bare-bones, but could one day make for smarter self-driving cars that are better prepared for the unexpected, among other applications.

The software uses a deep-learning algorithm that was trained on two million unlabeled videos amounting to a year’s worth of screen time. It actually consists of two separate neural networks that compete with one another. The first has been taught to separate the foreground and the background and to identify the object in the image, which allows the model to then determine what is moving and what isn’t.

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Nov 28, 2016

MIT’s new method of radio transmission could one day make wireless VR a reality

Posted by in categories: internet, mobile phones, robotics/AI, supercomputing, virtual reality

If you want to use one of today’s major VR headsets, whether the Oculus Rift, the HTC Vive, or the PS VR, you have to accept the fact that there will be an illusion-shattering cable that tethers you to the small supercomputer that’s powering your virtual world.

But researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) may have a solution in MoVr, a wireless virtual reality system. Instead of using Wi-Fi or Bluetooth to transmit data, the research team’s MoVR system uses high-frequency millimeter wave radio to stream data from a computer to a headset wirelessly at dramatically faster speeds than traditional technology.

There have been a variety of approaches to solving this problem already. Smartphone-based headsets such as Google’s Daydream View and Samsung’s Gear VR allow for untethered VR by simply offloading the computational work directly to a phone inside the headset. Or the entire idea of VR backpacks, which allow for a more mobile VR experience by building a computer that’s more easily carried. But there are still a lot of limitations to either of these solutions.

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Nov 28, 2016

Genevieve Bell: ‘Humanity’s greatest fear is about being irrelevant’

Posted by in categories: information science, robotics/AI

The Australian anthropologist explains why being scared about AI and big data has more to do with our fear of each other than killer robots.

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Nov 27, 2016

Google’s AI Can Now Translate Between Languages It Wasn’t Taught to Translate Between

Posted by in category: robotics/AI

In Brief

  • The AI can translate a language pair with a reasonable amount of accuracy if it has translated both of them into another common language.
  • This removes a significant amount of human input, and it opens the door to AI that learn and problem solve better than ever.

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