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Archive for the ‘robotics/AI’ category: Page 1538

Oct 4, 2020

Researchers create fly-catching robots

Posted by in categories: materials, robotics/AI

An international team of Johannes Kepler University researchers is developing robots made from soft materials. A new article in the journal Communications Materials demonstrates how these kinds of soft machines react using weak magnetic fields to move very quickly—even grabbing a quick-moving fly that has landed on it.

When we imagine a moving machine, such as a robot, we picture something largely made out of hard materials, says Martin Kaltenbrunner. He and his team of researchers at the JKU’s Department of Soft Matter Physics and the LIT Soft Materials Lab have been working to build a -based system. When creating these kinds of systems, there is a basic underlying idea to create conducive conditions that support close robot-human interaction in the future—without the solid machine physically harming humans.

Oct 4, 2020

A Future with Robots

Posted by in categories: innovation, robotics/AI

Robots of the future will be dexterous, capable of deep nuanced conversations, and fully autonomous. They are going to be indispensable to humans in the future.

Let me know in the comment section what you wish a robot could help you do…?

~ 2020s & The Future Beyond.
#Iconickelx

Continue reading “A Future with Robots” »

Oct 4, 2020

Build Your Own Artificial Neural Network. It’s Easy!

Posted by in categories: physics, robotics/AI

The first artificial neural networks weren’t abstractions inside a computer, but actual physical systems made of whirring motors and big bundles of wire. Here I’ll describe how you can build one for yourself using SnapCircuits, a kid’s electronics kit. I’ll also muse about how to build a network that works optically using a webcam. And I’ll recount what I learned talking to the artist Ralf Baecker, who built a network using strings, levers, and lead weights.

I showed the SnapCircuits network last year to John Hopfield, a Princeton University physicist who pioneered neural networks in the 1980s, and he quickly got absorbed in tweaking the system to see what he could get it to do. I was a visitor at the Institute for Advanced Study and spent hours interviewing Hopfield for my forthcoming book on physics and the mind.

The type of network that Hopfield became famous for is a bit different from the deep networks that power image recognition and other A.I. systems today. It still consists of basic computing units—“neurons”—that are wired together, so that each responds to what the others are doing. But the neurons are not arrayed into layers: There is no dedicated input, output, or intermediate stages. Instead the network is a big tangle of signals that can loop back on themselves, forming a highly dynamic system.

Oct 4, 2020

DARPA mind-machine interface: US military readies TELEPATHIC ‘cyber defence’ tech

Posted by in categories: military, robotics/AI

#DARPA is the US military department responsible for developing cutting edge technologies for use on the front line. Boasting an annual budget of billions and with some of the world’s smartest minds on its roster, DARPA is responsible for some of the world’s most exciting tech. And it has now emerged the secretive research arm is advancing brain-machine interface capable of allowing soldiers to telepathically control “active cyber defence systems” and “swarms of unmanned aerial vehicles”.


US MILITARY Defence Advanced Research Projects Agency (DARPA) is preparing telepathic technology which some fear is capable of remotely controlling war machines with military minds.

Oct 4, 2020

Single photons from a silicon chip

Posted by in categories: encryption, quantum physics, robotics/AI, security

(Nanowerk News) Quantum technology holds great promise: Just a few years from now, quantum computers are expected to revolutionize database searches, AI systems, and computational simulations. Today already, quantum cryptography can guarantee absolutely secure data transfer, albeit with limitations. The greatest possible compatibility with our current silicon-based electronics will be a key advantage. And that is precisely where physicists from the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) and TU Dresden have made remarkable progress: The team has designed a silicon-based light source to generate single photons that propagate well in glass fibers.

Oct 4, 2020

Tesla to offer bird’s eye view through Autopilot camera in FSD package

Posted by in categories: Elon Musk, robotics/AI, transportation

Elon Musk confirmed that a new “vector-space bird’s eye view” is coming to Tesla vehicles under the FSD package.

Bird’s eye view, a vision monitoring system that renders a view of a vehicle from the top to help park and navigate tight spaces, has become a popular feature in premium vehicles and it has even moved down market over the last few years.

It is generally made possible due to an array of 5 or 6 camera around the vehicle.

Oct 3, 2020

Military Robot Guard Dogs

Posted by in categories: military, robotics/AI

The US Military has deployed robot dogs to test them for use in modern warfare 😲.

Oct 3, 2020

How the Police Use AI to Track and Identify You

Posted by in categories: robotics/AI, surveillance

Modern technology has enabled the development and deployment of the pervasive and precise surveillance that may be slipping out of the control of the public.

Oct 3, 2020

The Road to Creating an AI God

Posted by in categories: robotics/AI, singularity

For many futurist Like Anthony Lewandoski, the point beyond where machines achieve Artificial Super Intelligence, is the point where all their rationale for the future meets unfathomable numbers of probabilities.

The best analytical minds cannot peer behind this thick curtain of the future, a future that seems will be woven with threads of the singularity; a future that seems runaway even before we get there.

It appears the only projection we can arrive at as we peer into a future harnessed on Artificial Super Intelligence and driven by the Singularity is that, we as humans will have to take the back seat and allow a more advanced form of intelligence take the reign.

Continue reading “The Road to Creating an AI God” »

Oct 3, 2020

50 Million Artificial Neurons to Facilitate Machine-Learning Research

Posted by in category: robotics/AI

Fifty million artificial neurons—a number roughly equivalent to the brain of a small mammal—were delivered from Portland, Oregon-based Intel Corp. to Sandia National Laboratories last month, said Sandia project leader Craig Vineyard.

The neurons will be assembled to advance a relatively new kind of computing, called neuromorphic, based on the principles of the human brain. Its artificial components pass information in a manner similar to the action of living neurons, electrically pulsing only when a synapse in a complex circuit has absorbed enough charge to produce an electrical spike.

“With a neuromorphic of this scale,” Vineyard said, “we have a new tool to understand how brain-based computers are able to do impressive feats that we cannot currently do with ordinary computers.”