Friday, 18 November 2016

THE COMPETITION - $5 Million IBM Watson AI XPRIZE is a global challenge to develop artificial intelligence





THE COMPETITION



The $5 Million IBM Watson AI XPRIZE is a global challenge to develop artificial intelligence technologies capable of collaborating with humans to solve the world’s grand challenges. This competition aims to accelerate the adoption of AI tech and spark creative, innovative and audacious demonstrations that are truly scalable and world-changing. This is a 4-year competition, and the top 3 finalists will compete for the Grand Prize at TED2020.


THE PRIZE

$3 Million Grand Prize

$1 Million 2nd Place Prize

$500,000 3rd Place Prize

$500,000 in Milestone Prizes






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Thursday, 17 November 2016

This is how AI ROBOTS will take over the world - and why we need to stop scientists NOW!




This is how AI ROBOTS will take over the world - and why we need to stop scientists NOW!

RESEARCHERS have pieced together the map of artificial intelligence’s future, showing the certainty machines will one day exceed man.

By SEAN MARTIN
PUBLISHED: 04:01, Thu, Nov 17, 2016 | UPDATED: 08:03, Thu, Nov 17, 2016


The rise of AI now seems inevitable with many experts, including Stephen Hawking, stating the invention of smart machines will be the biggest ever impact on humanity.

However, there has been a lack of clarity about when and how the takeover of machines will occur, but one leading researcher has now mapped out AI’s future progress.

Arend Hintz, assistant professor of integrative biology & computer science and engineering at Michigan State University, says the rise of AI truly began in the 1990s with “reactive machines”.


Mr Hintz said that the most basic types of AI are neither able to form memories or learn from past experiences, pointing to IBM’s chess-playing supercomputer, Deep Blue, which managed to beat chess world champion Garry Kasparov in 1997.While Deep Blue was able to identify the pieces on a chessboard and know where to move them, it had no concept of learning from past games to improve.

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AI will one day rule the world

Mr Hintz wrote in an article for The Conversation: “This type of intelligence involves the computer perceiving the world directly and acting on what it sees. It doesn’t rely on an internal concept of the world.”





The next stage, or Type II, will have limited memory.

Some self-driving cars already have the ability in the form of observing other cars’ movement and speed, which cannot be done in a single moment as it needs to measure the criteria against other objects for reference.

The scientist writes: “But these simple pieces of information about the past are only transient. 

“They aren’t saved as part of the car’s library of experience it can learn from, the way human drivers compile experience over years behind the wheel.”

Driverless cars are a form of AI

Then comes the theory of mind stage, which is where some researchers believe the development of AI should halt.

Robots in this stage “not only form representations about the world, but also about other agents or entities in the world”.

This is a psychological concept which is the understanding that beings in the world can have thoughts and emotions which influence their own behavior – something that scientists state was essential in humanity becoming the most dominant race on Earth.

Mr Hintz: “This is crucial to how we humans formed societies, because they allowed us to have social interactions. 

Humanoid robots are the future

“Without understanding each other’s motives and intentions, and without taking into account what somebody else knows either about me or the environment, working together is at best difficult, at worst impossible.”

He adds that if AI is to ever walk among us, it will have to understand that other beings have thoughts and emotions too.

The final stage would be self-awareness, which would see robots designed with consciousness.

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Finished faces wait to be united with their respective Real Doll bodies.
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However, for this step to be achieved, scientists need to understand what consciousness actually is.

Mr Hintz continued: “Conscious beings are aware of themselves, know about their internal states, and are able to predict feelings of others. 

“We assume someone honking behind us in traffic is angry or impatient, because that’s how we feel when we honk at others.”

Once this stage is achieved, AI will be as intelligent as humans, and will be on its way to exceeding the human race.

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Sunday, 13 November 2016

Chemtrails 'will wipe out humans' causing biblical-style floods, says expert



Chemtrails 'will wipe out humans' causing biblical-style floods, says expert

DAILY EXPRESS - By: SIOBHAN MCFADYEN Published: Sun, November 13, 2016

THEY'RE reportedly responsible for killing bees off in their billions and now it's been claimed Chemtrails could kill off human kind in just a few years, according to shock comments from a US expert.






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The planned merger between  US Monsanto and German Bayer MUST BE STOPPED !!






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Saturday, 22 October 2016

AI is closer than we know - Crunch Network - Christoffer O. Hernæs





CRUNCH NETWORK

AI is closer than we know






Christoffer O. Hernæs
CRUNCH NETWORK CONTRIBUTOR
Christoffer O. Hernæs is vice president of Strategy,
Innovation and Analysis at Sparebank 1 Group,
Norway’s second-largest financial institution.

Artificial intelligence is one of the hottest subjects these days, and recent advances in technology make AI even closer to reality than most of us can imagine.

The subject really got traction when Stephen Hawking, Elon Musk and more than 1,000 AI and robotics researchers signed an open letter issuing a warning regarding the use of AI in weapons development last year. The following month, BAE Systems unveiled Taranis, the most advanced autonomous UAV ever created; there are currently 40 countries working on the deployment of AI in weapons development.

Those in the defense industry are not the only ones engaging in an arms race to create advanced AI. Tech giants Facebook, Google, Microsoft and IBM are all engaging in various AI-initiatives, as well as competing on developing digital personal assistants like Facebook’s M, Cortana from Microsoft and Apple’ Siri.

Mark Zuckerberg even wants to create his own version of Jarvis from Iron Man to run his home. At this year’s World Economic Forum in Davos it was stated that artificial intelligence is ushering in the fourth industrial revolution, which will change society as we know it and cost five million jobs by 2020.

Robots are no longer limited to traditional blue-collar jobs, fully automated assembly lines and high-frequency trading algorithms. White-collar jobs are ripe for automation, and robots are replacing bank tellers, mortgage brokers and loan officers in the financial industry. These examples follow strict repetitive rule-based routines, and a machine easily can perform them without any human interaction.

However, a recent development is the beginning of a new era of AI, in which AI can perform complex tasks and must no longer rely on pre-programmed rules for decision-making. Robo-advisor services like Betterment and Wealthfront are rising in popularity, and the hedge fund industry is launching AI-controlled funds that operate completely without human interaction. The co-head of one of these funds predicts that the time will come that no human investment manager will be able to beat the computer. But how is it possible for AI to operate autonomously without any human interaction?

The road to true artificial intelligence is not paved with a single discipline.
Machine learning, one of the fundamentals behind AI, was defined by Arthur Samuel in 1959 as the science of getting computers to learn and act without being explicitly programmed. This technology is integral in the development of self-driving cars, IBM Watson and speech and image recognition, as well as solving some of our most challenging tasks, like making sense of the human genome.

Machine learning has its roots in statistical pattern recognition, and is fundamental in many everyday applications and services, like spam filters and web search algorithms. The fundamental aspect of machine learning is letting the computer program learn from examples. To accelerate machine learning development, Google released its machine learning system, TensorFlow, on GitHub, which led to Microsoft following up shortly thereafter.

Deep learning takes the concept of machine learning even deeper (pun intended), and can model complex non-linear relationships consisting of many layers. Deep learning is often mentioned interchangeably together with artificial/deep neural networks, which can be viewed as a biologically inspired programming paradigm that enables a computer to learn from observational data. Deep learning is considered the technique we apply to learn in neural networks.

Quantum computing is the latest and hottest in AI development. Google states they have in collaboration with NASA a quantum computer that is 100 million times faster than a traditional computer. The D-Wave 2X could theoretically complete calculations within seconds to a problem that might take a digital computer 10,000 years to calculate. However, Google states that quantum computing might not be suitable for deep learning.

While traditional computers rely on bits that are either 1 or 0, a quantum computer is based on cubits that can hold a superposition and be both 1 and 0 simultaneously. This state enables quantum computers to crunch data at an exponential rate. While quantum computing may not be suited for deep learning, it could revolutionize the field of optimization in logistics, investment strategies and energy production and consumption.

The road to true artificial intelligence is not paved with a single discipline, but rather a collection of specialized subject matters, techniques and theories that together interact to create some form of intelligence.

I have limited this post to include only a selection of the technologies and techniques applied in AI research and development. For further insight, I recommend looking into evolutionary computing and logic programming (even though I still hold a grudge against Prolog for making me feel too stupid to really understand how it works when I played around with it many years ago).

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IoT attacks of the Internet : >


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Saturday, 8 October 2016

ROBOT ARMIES: No more Western soldier deaths ‘in a DECADE’ as MACHINES take over




ROBOT ARMIES: No more Western soldier deaths ‘in a DECADE’ as MACHINES take over

THERE will be no longer be human casualties of war from wealthy countries within 10 years as advanced military will begin sending MACHINES to war-zones to do their bidding, an expert has claimed.

DAILY EXPRESS - By SEAN MARTIN
PUBLISHED: 10:00, Sat, Oct 8, 2016

There will be no more Western soldier deaths in ten years.

US Presidential hopeful Zoltan Istvan, a Third Party candidate in the race to become the next leader of America, has said America, and other Western countries, will begin phasing out humans for war and replace them with robots.

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 says that the process of replacing humans with machines in war-zones has already begun.

The 44-year old claims helicopter pilots have already been told that they are not going to be actual pilots within five years.

He told Express Online: “The other day they sat down 500 of the best navy helicopter pilots in a room and said ‘so I know you’ve all been training for your Top Gun missions and you want to go into the field and do this but over the next few years we’re going to be phasing out all manned helicopter missions and you’re going to be sitting at an office in Washington DC flying drone helicopters, so be prepared.

AI revolution could spell the END of immigration


  Drones will take over from helicopters

“‘If you came here to fly manned missions, that’s not going to be happening much longer’.

“We don’t want to put our navy personnel directly in the field if we can avoid it.”

Mr Istvan says the future of Navy personnel in the US will be confined to a desk, controlling a drone or something of similar ilk – which they were not too pleased about hearing.

Soldiers are unlikely to be sent to war
He continued: “These were guys who saw the movie Top Gun and wanted to be out in the field, not sat behind a desk playing video games.”

The next step of the process will see humans being completely phased out of war-zones, and Mr Istvan went as far as to say: “Within 10 years time, I’d bet there won’t be any deaths of US soldiers in war zones. 

“There will still probably be special forces, but even they are going to have to be replaced at some point.”


The Reasoning for this? “There is no way that we’re going to send a human being to do what a robot can do for far cheaper.

“A lot of soldiers come back, and then the US government has to support them and pay them money per month, which I think we should do, but that’s another incentive to spend up front on machines so that you don’t end up having these huge military bills taking care of veterans.

“Eventually, there will come a point where we no longer create disabled veterans. We will use machines.”

179 UK servicemen and women died during the campaign that followed the invasion of Iraq on 20 March 2003.


However, there is a great fear around the use of artificial intelligence (AI) in war for many reasons, mainly because they have the potential to upraise and rebel.

For this, Mr Istvan says that initially all robots will be controlled by humans.

He said: “I think right now there is a great fear of machines controlling machines.

“Everybody is so afraid of the Terminator scenario that while they’re very interested in robot soldiers, they’re not interested in robot soldiers being controlled by other robot soldiers yet.”

Mr Istvan added that there is likely to be a “cluster control” of the robots where one person is operating many machines.

Nonetheless, this has its own downfalls – especially if it gets into the wrong hands.

The US citizen of Hungarian descent can envisage a situation where a terrorist masters cluster control and can, for example, mass-purchase regular drones and use them in attacks.

He warned: “A terrorist attack is certainly easy to happen anywhere in the next 10 years. 

“You can go out to your local drone store, buy 50 of them, arm every single one of them with bullets from Wall Mart, buy software online and you can attack the Super Bowl, for example, where you have a hundred thousand people and you can drop acid bombs or shoot them with drones.

“We’ve never had such a dangerous predicament.”

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Friday, 30 September 2016

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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Robots will soon dominate warfare
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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Friday, 16 September 2016

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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Wednesday, 14 September 2016

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.



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(link to Illuminati revelations)