AI will be TEN TIMES more destructive than nuclear bombs, warns expert.

EXCLUSIVE: AI will be TEN TIMES more destructive than nuclear bombs, warns expert.

WHICHEVER nation develops AI first will completely control the military landscape as the machine has the potential to be ten times as devastating as the nuclear bomb, an expert has warned.

DAILY EXPRESS - By SEAN MARTIN

17:55, Fri, Sep 30, 2016 | UPDATED: 18:08, Fri, Sep 30, 2016

AI will be more significant than the nuclear bomb, says Zoltan Istvan

US Presidential hopeful Zoltan Istvan, a Third Party candidate in the race to become America’s next leader, has warned that the development of AI is going to have the biggest impact on humanity that has ever been.

Scientists across the globe have been frantically working on the development of artificial intelligence, which would see machines or software expressing intelligence on par with humans.

Many have warned on the perils of developing machines that are as capable as us, as it could realistically make humans obsolete as they could take our jobs, and eventually see us as more of a hindrance.

Mr Istvan, a trans-humanist – a movement that wants to use science and technology to radically change the human being and the human experience by merging our bodies with machine – and futurist, share similar worries.

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He argues that AI will be used to “dominate the military landscape” and will be more significant than the development of the nuclear bomb.

Speaking to Express.co.uk, Mr Istvan said: “If I was going to become president tomorrow, I would put a huge amount of resources into the development of AI because I find that whoever ends up controlling the very first or smartest AI is probably going to very quickly dominate the entire military landscape.

“If you have a machine that can program viruses or hack into any other machine, you have such a distinct advantage over any other world government.

“Whoever gets to AI first is simply going to end up being the global leader.”

He continued: “You have to see AI as you would see the Manhattan Project or the development of nuclear bombs.

“It changed the military landscape the moment the US dropped the bombs in Japan. The first AI is probably going to be about five to ten times that affect.

AI will make the developer the dominant global force

“The idea that we could go into a nation and completely turn off all their power, mess with all of their traffic lights, send viruses to all of their computers, stop the water flowing.

“This is exactly why AI is so important.”

He argued that the world’s governments should form a coalition to create AI as it needs to be so carefully monitored.

The US's bombing of Japan 'changed the military landscape'

Mr Istvan added: “To me it is incredibly important that a democratic nation develops AI first because we need to keep it as a democratic power.

“Imagine if North Korea developed AI, that could very quickly destabilize the entire world almost immediately.”

The US citizen of Hungarian descent, who has been vocal in his opposition to AI, has conceded that the development of machines that are smarter than humans is inevitable, which is why the world’s leaders need to work together to develop and subsequently contain it.

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This is why AI has featured at the top of the Bilderberg Group agenda during the past two years.

They have acquired companies and people at the forefront AI oriented developments and this ´global elite´is making unlimited funds available towards acquiring world dominance.

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Quantum Mechanics - Theories & Facts

Quantum Mechanics

In day to day life, we intuitively understand how the world works.  Drop a glass and it will smash to the floor.  Push a wagon and it will roll along.  Walk to a wall and you can't walk through it.  There are very basic laws of physics going on all around us that we instinctively grasp: gravity makes things fall to the ground, pushing something makes it move, two things can't occupy the same place at the same time. 

At the turn of the century, scientists thought that all the basic rules like this should apply to everything in nature -- but then they began to study the world of the ultra-small.  Atoms, electrons, light waves, none of these things followed the normal rules.  As physicists like Niels Bohr and Albert Einstein began to study particles, they discovered new physics laws that were downright quirky.  These were the laws of quantum mechanics, and they got their name from the work of Max Planck. 

"An Act of Desperation"

In 1900, Max Planck was a physicist in Berlin studying something called the "ultraviolet catastrophe."  The problem was the laws of physics predicted that if you heat up a box in such a way that no light can get out (known as a "black box"), it should produce an infinite amount of ultraviolet radiation.  In real life no such thing happened: the box radiated different colors, red, blue, white, just as heated metal does, but there was no infinite amount of anything. It didn't make sense.  These were laws of physics that perfectly described how light behaved outside of the box -- why didn't they accurately describe this black box scenario? 

Planck tried a mathematical trick.  He presumed that the light wasn't really a continuous wave as everyone assumed, but perhaps could exist with only specific amounts, or "quanta," of energy.  Planck didn't really believe this was true about light, in fact he later referred to this math gimmick as "an act of desperation."  But with this adjustment, the equations worked, accurately describing the box's radiation.

It took awhile for everyone to agree on what this meant, but eventually Albert Einstein interpreted Planck's equations to mean that light can be thought of as discrete particles, just like electrons or protons.  In 1926, Berkeley physicist Gilbert Lewis named them photons. 

Quanta, quanta everywhere

This idea that particles could only contain lumps of energy in certain sizes moved into other areas of physics as well.  Over the next decade, Niels Bohr pulled it into his description of how an atom worked.  He said that electrons traveling around a nucleus couldn't have arbitrarily small or arbitrarily large amounts of energy, they could only have multiples of a standard "quantum" of energy. 

Eventually scientists realized this explained why some materials are conductors of electricity and some aren't -- since atoms with differing energy electron orbits conduct electricity differently. This understanding was crucial to building a transistor, since the crystal at its core is made by mixing materials with varying amounts of conductivity.

But They're Waves Too

Here's one of the quirky things about quantum mechanics: just because an electron or a photon can be thought of as a particle, doesn't mean they can't still be though of as a wave as well.  In fact, in a lot of experiments light acts much more like a wave than like a particle. 

This wave nature produces some interesting effects.  For example, if an electron traveling around a nucleus behaves like a wave, then its position at any one time becomes fuzzy.  Instead of being in a concrete point, the electron is smeared out in space.  This smearing means that electrons don't always travel quite the way one would expect.  Unlike water flowing along in one direction through a hose, electrons traveling along as electrical current can sometimes follow weird paths, especially if they're moving near the surface of a material.  Moreover, electrons acting like a wave can sometimes burrow right through a barrier.  Understanding this odd behavior of electrons was necessary as scientists tried to control how current flowed through the first transistors. 

So which is it - a particle or a wave?

Scientists interpret quantum mechanics to mean that a tiny piece of material like a photon or electron is both a particle and a wave.  It can be either, depending on how one looks at it or what kind of an experiment one is doing.  In fact, it might be more accurate to say that photons and electrons are neither a particle or a wave -- they're undefined up until the very moment someone looks at them or performs an experiment, thus forcing them to be either a particle or a wave. 

This comes with other side effects: namely that a number of qualities for particles aren't well-defined.  For example, there is a theory by Werner Heisenberg called the Uncertainty Principle.  It states that if a researcher wants to measure the speed and position of a particle, he can't do both very accurately.  If he measures the speed carefully, then he can't measure the position nearly as well.  This doesn't just mean he doesn't have good enough measurement tools -- it's more fundamental than that.  If the speed is well-established then there simply does not exist a well-established position (the electron is smeared out like a wave) and vice versa. 

Albert Einstein disliked this idea.  When confronted with the notion that the laws of physics left room for such vagueness he announced: "God does not play dice with the universe."  Nevertheless, most physicists today accept the laws of quantum mechanics as an accurate description of the subatomic world.  And certainly it was a thorough understanding of these new laws which helped Bardeen, Brattain, and Shockley invent the transistor. 

Resources: 

-- Where Does the Weirdness Go? Why Quantum Mechanics is Strange, But Not as Strange as You Think, David Lindley 

-- What is Quantum Mechanics?  A Physics Adventure, Transnational College of LEX 

-- The Handy Physics Answer Book, P. Erik Gundersen 

-- Albert Einstein exhibit at the American Institute of Physics

-- Heisenberg exhibit at the American Institute of Physics

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How Augmented Reality Works

                                    

How Augmented Reality Works

BY KEVIN BONSOR - TECH | OTHER SOFTWARE

The SixthSense augmented reality system lets you project a phone pad onto your hand and phone a friend -- without removing the phone from your pocket. 

Video games have been entertaining us for nearly 30 years, ever since Pong was introduced to arcades in the early 1970s. Computer graphics have become much more sophisticated since then, and game graphics are pushing the barriers of photorealism. Now, researchers and engineers are pulling graphics out of your television screen or computer display and integrating them into real-world environments. This new technology, called augmented reality, blurs the line between what's real and what's computer-generated by enhancing what we see, hear, feel and smell.

On the spectrum between virtual reality, which creates immersive, computer-generated environments, and the real world, augmented reality is closer to the real world. Augmented reality adds graphics, sounds, haptic feedback and smell to the natural world as it exists. Both video games and cell phones are driving the development of augmented reality. Everyone from tourists, to soldiers, to someone looking for the closest subway stop can now benefit from the ability to place computer-generated graphics in their field of vision.

How 3-D Graphics Work - How Invisibility Cloaks Work

Augmented reality is changing the way we view the world -- or at least the way its users see the world. Picture yourself walking or driving down the street. With augmented-reality displays, which will eventually look much like a normal pair of glasses, informative graphics will appear in your field of view, and audio will coincide with whatever you see. These enhancements will be refreshed continually to reflect the movements of your head. Similar devices and applications already exist, particularly on smartphones like the iPhone.

In this article, we'll take a look at where augmented reality is now and where it may be headed soon.

Read ALL about Augmented Reality, AR :>

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Clinton, Trump and Obama aren't telling American workers the truth.

                                          Info re.global development of AI 

ELECTIONS

Clinton, Trump and Obama aren't telling American workers the truth. Here it is:

By Saquib Hyat-Khan, Jeanne Zaino  Published September 05, 2016  FoxNews.com

Labor Day is the one day every year when we come together as a nation to celebrate the achievements of the American worker and the history of the labor movement in this country. Hillary Clinton and Donald Trump will join President Obama (who spent the weekend meeting with G20 leaders issued a Labor Day message on September 1) as well as a variety of politicians and public officials from across the country, in commemorating the day.

You can bet that their lofty rhetoric will be accompanied by a promise to restore the nation to its manufacturing heyday.

At the Democratic Convention in Philadelphia, for instance, Clinton promised to push policies that will help foster a “manufacturing renaissance.”  Not to be outdone, Donald Trump has long said he will be “the greatest job-producing president in American history.”

 What neither Clinton, Trump, Obama, or any other public official is likely to do on Labor Day, however, is to level with the American worker. None of them are likely to confess the hard truth: the jobs they keep talking about bringing back to the United States are not coming back. None of them are likely to have the guts and foresight to tell the public that instead of making empty promises they will focus their energy on helping the American worker prepare for a time, in the next decade or so, in which many of the tasks they perform at their current job are increasingly automated. None of them are likely to acknowledge what is the reality: that we need to prepare collectively for “new” types of work and learn to co-exist in an economy alongside artificial intelligence and robotics.

It is bordering on malpractice that our current candidates public officials have not done more to help prepare us all for a future in which accelerated technological change has a major impact on our labor force.

How do we know these jobs are not returning? Consider the following evidence. First, over the last several years, a small but growing number of companies have reopened factories in the United States. Unfortunately, jobs have not returned with them because many of these plants are increasingly automated. Second, since 2009, manufacturing output has increased more than twenty percent, but that hasn’t resulted in an equivalent increase in the number of jobs, i.e., manufacturing employment has grown just five percent in the same period. Third, manufacturing output is higher than it has been for decades – it is up $2.2 trillion in 2015 from $1.7 trillion in 2009. Despite this, employment in the sector is lower than it has been since the mid-twentieth century and total employment has decreased by a third since 1970.

Automation is not the sole reason for this, but it is seen by most experts as an increasingly important factor. In 2014 almost half of the leading economists and other experts interviewed for a PEW research study said that they “envision a future in which robots and digital agents have displaced significant numbers of both blue- and white-collar workers—with many expressing concern that this will lead to vast increases in income inequality, masses of people who are effectively unemployable, and breakdowns in the social order.”

There is no question that a portion of the jobs many of us perform today will be lost to robotics, automation, and the rise of artificial intelligence in the next few decades. A recent study by AppliedTechonomics, for instance, found that we currently have the technological capacity to automate 52 percent of the activities performed by workers in the manufacturing sectors. Moreover, the study found that manufacturing is the second most automatable sector in the global economy, just behind the services industry.   

Given this reality it is bordering on malpractice that our current candidates and public officials have not done more to help prepare us all for a future in which accelerated technological change has a major impact on our labor force.

There are many steps we can take to confront that reality -- from better education and training for impacted workers, to more controversial proposals like offering incentives to corporations to encourage them not to automate at such a fast past or even providing a guaranteed minimum income to everyone in our country.

There is much that can and should be done to prepare all of us for the future, beginning with an honest discussion about the changes workers are going to face – prepared or not – in the coming years.

Labor Day 2016 is not too late to begin having this discussion. Our current crop of candidates, as well as our elected leaders, have a responsibility to all Americans to get the conversation started.

Saquib Hyat-Khan is Founder and Chief Executive at AppliedTechonomics.

Jeanne Zaino, Ph.D. is professor of Political Science and International Studies at Iona College and Senior Advisor at AppliedTechonomics, Public Sector. Follow her on Twitter @JeanneZaino.

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AI IS TAKING OVER

                                          Info re.global development of AI 


AI IS TAKING OVER

Will AI enslave humanity before the globalists do?

Infowars.com - SEPTEMBER 3, 2016 271 Comments 

IMAGE CREDITS: JD HANCOCK / FLICKR.

Artificial intelligence becoming life-like by expressing emotion – and even policing shopping malls!

Is all of this convenience good, or are we entering an Orwellian 1984? Margaret Howell and Ashley Beckford explore these new tech trends:

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Commentary:

The above statement and comments needs clarification:

Illuminati/Bilderberg Group represents what we often hear referred to as "the global elite"

They have during the past years been assimilating the top people within AI developments
and also purchased many top companies within the above mention field.

They have the TOP people and own companies within the latest AI development, to which they are providing UNLIMITED funds.

Any AI´takeover´ will as such be by the evil Illuminati organization in their effort to
create their New Wold Order  (NWO)

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