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Category: robotics/AI – Page 1,695

How To Build a Real IRON MAN SUIT — Nanosuits & Neuromorphic Computing

The future of Neuromorphic computing and nanotechnology enabling real life Nanosuits is already here according to several leading scientists in that field. Whether it’s the Nanosuit from Iron Man or from Crysis, the nanobots and brain computer interfaces which make those intelligent smart clothes up work in a very similar way.

Neuromorphic computing essentially involves assembling artificial neurons to function based on the principles of the human brain. It works on Spiking Neural Networks or SNNs, where each “neuron” sends independent signals to other neurons. It emulates natural neural networks that exist in biological brains.
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Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity.

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TIMESTAMPS:
00:00 What’s the plan?
01:55 How Neuromorphic Computing will enable Nanosuits.
03:36 How does Neuromorphic Computing work?
04:58 Nanosuit Material.
06:42 Last Words.
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#nanosuit #nanobots #neuromorphic

Will artificial intelligence create useless class of people? — Yuval Noah Harari

Yuval Noah Harari is one of the world’s most famous public intellectuals, historians and writers. He is probably most famous for his book ‘Sapiens: A Brief History of Humankind’. (Subscribe: https://bit.ly/C4_News_Subscribe)

His most recent book, ‘Sapiens: A Graphic History, Volume 2: The Pillars of Civilization’ has just been published and offers a different way of telling the story of humankind for a younger audience.

Yuval talks to Krishnan about where racism comes from, what the recipe for a dictatorship is and why we should be very careful about how we used artificial intelligence.

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Deep Reasoning: Is this the Next Era of AI?

Thanks to this new category of algorithms that has proved its power of mimicking human skills just by learning through examples. Deep learning is a technology representing the next era of machine learning. Algorithms used in machine learning are created by programmers and they hold the responsibility for learning through data. Decisions are made based on such data.

Some of the AI experts say, t here will a shift in AI trends. For instance, the late 1990s and early 2000s saw the rise of machine learning. Neural networks gained its popularity in the early 2010s, and growth in reinforcement came into light recently.

Well, these are just a couple of caveats we’re experienced throughout the past years.

New technology gives smart cars ‘X-ray’ vision, detecting hidden pedestrians, cyclists

Australian researchers have developed disruptive technology allowing autonomous vehicles to track running pedestrians hidden behind buildings, and cyclists obscured by larger cars, trucks, and buses.

The autonomous vehicle uses game changing technology that allows it to “see” the world around it, including using X-ray style vision that penetrates through to pedestrians in blind spots and to detect cyclists obscured by fast-moving vehicles.

The iMOVE Cooperative Research Centre-funded project collaborating with the University of Sydney’s Australian Centre for Field Robotics and Australian connected vehicle solutions company Cohda Wireless has just released its new findings in a following three years of research and development.

Watch Boston Dynamics’ Atlas Robot Crush a New Parkour Course

The big question that may be on many viewers’ minds is whether the robots are truly navigating the course on their own—making real-time decisions about how high to jump or how far to extend a foot—or if they’re pre-programmed to execute each motion according to a detailed map of the course.

As engineers explain in a second new video and accompanying blog post, it’s a combination of both.

Atlas is equipped with RGB cameras and depth sensors to give it “vision,” providing input to its control system, which is run on three computers. In the dance video linked above and previous videos of Atlas doing parkour, the robot wasn’t sensing its environment and adapting its movements accordingly (though it did make in-the-moment adjustments to keep its balance).

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