Archive for the ‘robotics/AI’ category: Page 2404

Jun 4, 2009

Ripsaw Tank Delivers Death at 60MPH — Popular Science

Posted by Seb in categories: counterterrorism, defense, engineering, military, robotics/AI

An unmanned beast that cruises over any terrain at speeds that leave an M1A Abrams in the dust

By Bjorn Carey Posted 05.21.2009 at 12:04 pm

Mean Machine: Troops could use the Ripsaw as an advance scout, sending it a mile or two ahead of a convoy, and use its cameras and new sensor technology to sniff out roadside bombs or ambushes John B. Carnett

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May 30, 2009

Create an AI on Your Computer

Posted by Seb in categories: complex systems, human trajectories, information science, neuroscience, robotics/AI, supercomputing

Singularity Hub

Create an AI on Your Computer

Written on May 28, 2009 – 11:48 am | by Aaron Saenz |

If many hands make light work, then maybe many computers can make an artificial brain. That’s the basic reasoning behind Intelligence Realm’s Artificial Intelligence project. By reverse engineering the brain through a simulation spread out over many different personal computers, Intelligence Realm hopes to create an AI from the ground-up, one neuron at a time. The first waves of simulation are already proving successful, with over 14,000 computers used and 740 billion neurons modeled. Singularity Hub managed to snag the project’s leader, Ovidiu Anghelidi, for an interview: see the full text at the end of this article.

The ultimate goal of Intelligence Realm is to create an AI or multiple AIs, and use these intelligences in scientific endeavors. By focusing on the human brain as a prototype, they can create an intelligence that solves problems and “thinks” like a human. This is akin to the work done at FACETS that Singularity Hub highlighted some weeks ago. The largest difference between Intelligence Realm and FACETS is that Intelligence Realm is relying on a purely simulated/software approach.

Which sort of makes Intelligence Realm similar to the Blue Brain Project that Singularity Hub also discussed. Both are computer simulations of neurons in the brain, but Blue Brain’s ultimate goal is to better understand neurological functions, while Intelligence Realm is seeking to eventually create an AI. In either case, to successfully simulate the brain in software alone, you need a lot of computing power. Blue Brain runs off a high-tech supercomputer, a resource that’s pretty much exclusive to that project. Even with that impressive commodity, Blue Brain is hitting the limit of what it can simulate. There’s too much to model for just one computer alone, no matter how powerful. Intelligence Realm is using a distributed computing solution. Where one computer cluster alone may fail, many working together may succeed. Which is why Intelligence Realm is looking for help.

The AI system project is actively recruiting, with more than 6700 volunteers answering the call. Each volunteer runs a small portion of the larger simulation on their computer(s) and then ships the results back to the main server. BOINC, the Berkeley built distributed computing software that makes it all possible, manages the flow of data back and forth. It’s the same software used for SETI’s distributed computing processing. Joining the project is pretty simple: you just download BOINC, some other data files, and you’re good to go. You can run the simulation as an application, or as part of your screen saver.

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May 3, 2009

Unknown internet 2: Could the net become self-aware?

Posted by Seb in category: robotics/AI

New Scientist

30 April 2009 by Michael Brooks

Yes, if we play our cards right — or wrong, depending on your perspective.

In engineering terms, it is easy to see qualitative similarities between the human brain and the internet’s complex network of nodes, as they both hold, process, recall and transmit information. “The internet behaves a fair bit like a mind,” says Ben Goertzel, chair of the Artificial General Intelligence Research Institute, an organisation inevitably based in cyberspace. “It might already have a degree of consciousness”.

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Mar 13, 2009

Q&A: The robot wars have arrived

Posted by Seb in categories: defense, engineering, futurism, military, robotics/AI

March 12, 2009 10:00 AM PDT

Q&A: The robot wars have arrived

by Candace Lombardi

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Mar 11, 2009

Lockheed offers ready-to-go supersoldier exoskeleton

Posted by Seb in categories: defense, engineering, human trajectories, military, robotics/AI

Jetfuel powerpack, armour… shoulder turret?

By Lewis Page • Get more from this author

Posted in Science, 27th February 2009 12:18 GMT

Free whitepaper – Data center projects: standardized process

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Mar 10, 2009

How long do we have? — Regulate armed robots before it’s too late

Posted by Seb in categories: counterterrorism, defense, ethics, military, nuclear weapons, policy, robotics/AI

NewScientist — March 10, 2009, by A. C. Grayling

IN THIS age of super-rapid technological advance, we do well to obey the Boy Scout injunction: “Be prepared”. That requires nimbleness of mind, given that the ever accelerating power of computers is being applied across such a wide range of applications, making it hard to keep track of everything that is happening. The danger is that we only wake up to the need for forethought when in the midst of a storm created by innovations that have already overtaken us.

We are on the brink, and perhaps to some degree already over the edge, in one hugely important area: robotics. Robot sentries patrol the borders of South Korea and Israel. Remote-controlled aircraft mount missile attacks on enemy positions. Other military robots are already in service, and not just for defusing bombs or detecting landmines: a coming generation of autonomous combat robots capable of deep penetration into enemy territory raises questions about whether they will be able to discriminate between soldiers and innocent civilians. Police forces are looking to acquire miniature Taser-firing robot helicopters. In South Korea and Japan the development of robots for feeding and bathing the elderly and children is already advanced. Even in a robot-backward country like the UK, some vacuum cleaners sense their autonomous way around furniture. A driverless car has already negotiated its way through Los Angeles traffic.

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Feb 24, 2009

I Don’t Want To Live in a Post-Apocalyptic World

Posted by Michael Graham Richard in categories: asteroid/comet impacts, defense, existential risks, futurism, habitats, robotics/AI, space

How About You?
I’ve just finished reading Cormac McCarthy’s The Road at the recommendation of my cousin Marie-Eve. The setting is a post-apocalyptic world and the main protagonists — a father and son — basically spend all their time looking for food and shelter, and try to avoid being robbed or killed by other starving survivors.

It very much makes me not want to live in such a world. Everybody would probably agree. Yet few people actually do much to reduce the chances of of such a scenario happening. In fact, it’s worse than that; few people even seriously entertain the possibility that such a scenario could happen.

People don’t think about such things because they are unpleasant and they don’t feel they can do anything about them, but if more people actually did think about them, we could do something. We might never be completely safe, but we could significantly improve our odds over the status quo.

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Oct 8, 2008

Global Catastrophic Risks: Building a Resilient Civilization

Posted by Michael Graham Richard in categories: biological, biotech/medical, chemistry, cybercrime/malcode, defense, events, futurism, geopolitics, lifeboat, military, nanotechnology, nuclear weapons, robotics/AI

November 14, 2008
Computer History Museum, Mountain View, CA

http://ieet.org/index.php/IEET/eventinfo/ieet20081114/

Organized by: Institute for Ethics and Emerging Technologies, the Center for Responsible Nanotechnology and the Lifeboat Foundation

A day-long seminar on threats to the future of humanity, natural and man-made, and the pro-active steps we can take to reduce these risks and build a more resilient civilization. Seminar participants are strongly encouraged to pre-order and review the Global Catastrophic Risks volume edited by Nick Bostrom and Milan Cirkovic, and contributed to by some of the faculty for this seminar.

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Aug 30, 2008

The Singularity Summit 2008

Posted by Chris K. Haley in categories: futurism, robotics/AI

The Singularity Institute for Artificial Intelligence has announced the details of The Singularity Summit 2008. The event will be held October 25, 2008 at the Montgomery Theater in San Jose, California. Previous summits have featured Nick Bostrom, Eric Drexler, Douglas Hofstadter, Ray Kurzweil, and Peter Thiel.

Keynote speakers include Ray Kurzweil, author of The Singularity is Near, and Justin Rattner, CTO of Intel. At the Intel Developer Forum on August 21, 2008, Rattner explained why he thinks the gap between humans and machines will close by 2050. “Rather than look back, we’re going to look forward 40 years,” said Rattner. “It’s in that future where many people think that machine intelligence will surpass human intelligence.”

Other featured speakers include:

Dr. Ben Goertzel, CEO of Novamente, director of research at SIAI
Dr. Marvin Minsky
Nova Spivack, CEO of Radar Networks, creator of Twine.com
Dr. Vernor Vinge
Eliezer Yudkowsky

You can find a comprehensive list of other upcoming Singularity and Artificial Intelligence events here.

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Jan 13, 2008

Carnegie Mellon study achieves significant results in decoding human thought

Posted by Chris K. Haley in categories: neuroscience, robotics/AI

Newsweek is reporting the results of a scientific study by researchers at Carnegie Mellon who used MRI technology to scan the brains of human subjects. The subjects were shown a series of images of various tools (hammer, drill, pliers, etc). The subjects were then asked to think about the properties of the tools and the computer was tasked with determining which item the subject was thinking about. To make the computer task even more challenging, the researchers excluded information from the brain’s visual cortex which would have made the problem a simpler pattern recognition exercise in which decoding techniques are already known. Instead, they focused the scanning on higher level cognitive areas.

The computer was able to determine with 78 percent accuracy when a subject was thinking about a hammer, say, instead of a pair of pliers. With one particular subject, the accuracy reached 94 percent.

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