Now declassified & available online! Russian Quantum Leap technology enhances RNA, DNA & health, cures diseases (e.g. diabetes, cancer 2), stops TI targeting.
By Alfred Lambremont Webre
WATCH QUANTUM LEAP PANEL INTERVIEW
Now declassified & available online! Russian Quantum Leap technology enhances RNA, DNA & health, cures diseases (e.g. diabetes, cancer 2), stops TI targeting.
By Alfred Lambremont Webre
WATCH QUANTUM LEAP PANEL INTERVIEW
In transistors, size matters — a lot. You can’t squeeze more silicon transistors (think billions of them) into a processor unless you can make them smaller, but the smaller these transistors get, the higher the resistance between contacts, which means the current can’t flow freely through them and, in essence, the transistors and chips built based on them, can no longer do their jobs. Ultra-tiny carbon nanotube transistors, though are poised to solve the size issue.
In a paper published on Thursday in the journal Science, IBM scientists announced they had found a way to reduce the contact length of carbon nanotube transistors — a key component of the tech and the one that most impacts resistance — down to 9 nanometers without increasing resistance at all. To put this in perspective, contact length on traditional, silicon-based 14nm node technology (something akin to Intel’s 14nm technology) currently sits at about 25 nanometers.
“In the silicon space, the contact resistance is very low if the contact is very long. If contact is very short, the resistance shoots up very quickly and gets large. So you have trouble getting current through the device,” Wilfried Haensch, IBM Senior Manager, Physics & Materials for Logic and Communications, told me.
carbon nanotubes, which happen to be 10,000 times thinner than a single strand of human hair, have been a promising tech for continuing Moore’s Law
carbon nanotubes, which happen to be 10,000 times thinner than a single strand of human hair, have been a promising tech for continuing Moore’s Law, which roughly states that the number of transistors in an integrated circuit will double every two years. However, according to Haensch, the technology faces considerable hurdles before it can be considered appropriate for commercial integrated circuit development.
First of all, the creation of tubes you can use in semiconductors isn’t easy. Haensch told me the current yields for useful material are still well below what they need. They also have to work out how to place the nanotubes 10nm apart or less on a wafer. Thirdly, they have to be able to scale devices based on carbon nanotubes to competitive dimensions.
There are actually two size issues to manage in chip scalability: Transistor gate and contact length. IBM solved the gate issue two years ago. “Scalability of contact was the last challenge on scalability,” said Haensch, and now IBM scientists report they’ve solved that, too. In their experiments, IBM scientists shrunk the contact length down to 9nm without any increase in resistance.
These results put the world one step closer to carbon nanotube-based integrated circuits. Such chips could conceivably run at the same speed as current transistors, but use significantly less power.
At maximum power, though, Haensch told me, these carbon nanotube chips could run at significantly faster speeds. Not only does this promise a future of ever faster computers, but it could lead to considerably better battery life for your most trusted companion — the smartphone.
This was an engineering breakthrough, though, that almost wasn’t. After working on the scalability problem for years, Haensch’s team came to him last year with results that shortened the contact length to 20nm.
They said, “Oh, we have something here. We need to publish,” Haensch recalled, who deflated the team’s excitement, telling them, “No, you don’t really have anything.”
Haensch sent them back to the lab telling them not to come back until they could produce something smaller than 10nm. “They were very disappointed they couldn’t write the paper,” said Haensch.
Then, a few months ago, the team returned with new results. “‘We got down to 9nm, and, by the way, we can reproduce the results.”
Haensch was thrilled. “Taking away the early gratification really gave us good results,” he said. It may also have given Moore’s Law a new lease on life and the world an exciting new future of electronics.
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PUBLISHED: 14:22 GMT, 19 June 2013 | UPDATED: 14:22 GMT, 19 June 2013
In just over 30 years, humans will be able to upload their entire minds to computers and become digitally immortal – an event called singularity – according to a futurist from Google.
Ray Kurzweil, director of engineering at Google, also claims that the biological parts of our body will be replaced with mechanical parts and this could happen as early as 2100.
Kurweil made the claims during his conference speech at the Global Futures 2045 International Congress in New York at the weekend.
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Technological singularity is the development of ‘superintelligence’ brought about through the use of technology.
The first use of the term ‘singularity’ refer to technological minds was by mathematician John von Neumann. Neumann in the mid-1950s.
He said: ‘ever accelerating progress of technology and changes in the mode of human life, which gives the appearance of approaching some essential singularity in the history of the race beyond which human affairs, as we know them, could not continue.’
The term was then used by science fiction writer Vernor Vinge who believesbrain-computer interfaces are causes of the singularity.
Ray Kurzweil cited von Neumann’s use of the term in a foreword to von Neumann’s classic The Computer and the Brain.
Kurzweil predicts the singularity to occur around 2045 while Vinge predicts it will happen before 2030.
The conference was created by Russian multimillionaire Dmitry Itskov and featured visonary talks about how the world will look by 2045.
Kurzweil said: ‘Based on conservative estimates of the amount of computation you need to functionally simulate a human brain, we’ll be able to expand the scope of our intelligence a billion-fold.’
He referred to Moore’s Law that states the power of computing doubles, on average, every two years quoting the developments from genetic sequencing and 3D printing.
In Kurweil’s book, The Singularity Is Near, he plots this development and journey towards singularity in a graph.
This singularity is also referred to as digital immortality because brains and a person’s intelligence will be digitally stored forever, even after they die.
He also added that this will be possible through neural engineering and referenced the recent strides made towards modeling the brain and technologies which can replace biological functions.
Examples of such technology given by LiveScience include the cochlear implant – an implant that is attached to the brain’s cochlear nerve and electronically stimulates it to restore hearing to someone who is deaf.
Other examples include technology that can restore motor skills after the nervous system is damaged.
Earlier this year, doctors from Cornell University used 3D printing to create a prosthetic ear using cells of cartilage.
A solid plastic mould was printed and then filled with high-density collagen gel.The researchers then added cartilage cells into the collagen matrix.
Kurweil was invited to the conference because he has previously written books around the idea of singularity.
Expanding on this idea Martine Rothblatt, CEO of biotech company United Therapeutics introduced the idea of ‘mindclones’.
These are digital versions of humans that can live forever and can create ‘mindfiles’ that are a place to store aspects of our personalities.
She said it would run on a kind of software for consciousness and told The Huffington Post: ‘The first company that develops mindware will have [as much success as] a thousand Googles.’
Rothblatt added that the presence of mindware could lead to replacing other parts of the body with ‘non-biological’ parts.
This is a concept that Kurweil also discussed and was the basis of his book Fantastic Voyage.
In this book he discusses immortality and how he believes the human body will develop.
He said: ‘We’re going to become increasingly non-biological to the point where the non-biological part dominates and the biological part is not important any more.
‘In fact the non-biological part – the machine part – will be so powerful it can completely model and understand the biological part. So even if that biological part went away it wouldn’t make any difference.
An avatar system that can help schizophrenics control the voices in their heads is being developed by British researchers.
As part of the therapy, patients create an avatar by choosing a face and a voice for the person, or persons, they believe are inside their head.
Therapists can then encourage the patients to oppose the avatar and force it away, which boosts their confidence in dealing with their hallucinations.
The first stage in the therapy is for the patient to create a computer-based avatar, by choosing the face and voice of the entity they believe is talking to them.
The system then synchronises the avatar’s lips with its speech, enabling a therapist to speak to the patient through the avatar in real-time.
The therapist encourages the patient to oppose the voice and gradually teaches them to take control of their hallucinations.
The avatar doesn’t address the patients’ delusions directly but the study found the hallucinations improve as an overall effect of the therapy.
This is because patients can interact with the avatar as though it was a real person, because they have created it, but they know it cannot harm them.
Many of the voices heard by schizophrenics threaten to kill or harm them and their family.
‘We’ll also have non-biological bodies – we can create bodies with nano technology, we can create virtual bodies and virtual reality in which the virtual reality will be as realistic as the actual reality.
‘The virtual bodies will be as detailed and convincing as real bodies.
‘We do need a body, our intelligence is directed towards a body but it doesn’t have to be this frail, biological body that is subject to all kinds of failure modes.
‘But I think we’ll have a choice of bodies, we’ll certainly be routinely changing our parent body through virtual reality and today you can have a different body in something like Second Life, but it’s just a picture on the screen.
‘Research has shown that people actually begin to subjectively identify with their avatar.
‘But in the future it’s not going to be a little picture in a virtual environment you’re looking at. It will feel like this is your body and you’re in that environment and your body is the virtual body and it can be as realistic as real reality.
‘So we’ll be routinely able to change our bodies very quickly as well as our environments. If we had radical life extension only we would get profoundly bored and we would run out of thing to do and new ideas.
‘In additional to radical life extension we’re going to have radical life expansion.
‘We’re going to have million of virtual environments to explore that we’re going to literally expand our brains – right now we only have 300 million patterns organised in a grand hierarchy that we create ourselves.
‘But we could make that 300 billion or 300 trillion. The last time we expanded it with the frontal cortex we created language and art and science. Just think of the qualitative leaps we can’t even imagine today when we expand our near cortex again.’
Read more: http://www.dailymail.co.uk/sciencetech/article-2344398/Google-futurist-claims-uploading-entire-MINDS-computers-2045-bodies-replaced-machines-90-years.html#ixzz2gTpgDHuH Follow us: @MailOnline on Twitter | DailyMail on Facebook
This show, with the original title “Control mental. El sueño dorado de los dueños del mundo” (Mind control. The golden dream of the world’s masters) — broadcasted to some 10 million people — was one of the biggest victories for victims of implant technologies so far. Thanks to Magnus Olsson, who, despite being victimized himself, worked hard for several years to expose one the biggest human rights abuses of our times – connecting people against their will and knowledge to computers via implants of the size of a few nanometers – leading to a complete destruction of not only their lives and health, but also personalities and identities.
Very few people are aware of the actual link between neuroscience, cybernetics, artificial intelligence, neuro-chips, transhumanism, the science cyborg, robotics, somatic surveillance, behavior control, the thought police and human enhancement.
They all go hand in hand, and never in our history before, has this issue been as important as it is now.
One reason is that this technology, that begun to develop in the early 1950s is by now very advanced but the public is unaware of it and it goes completely unregulated. There is also a complete amnesia about its early development, as Lars Drudgaard of ICAACT, mentioned in one of his interviews last year. The CIA funded experiments on people without consent through leading universities and by hiring prominent neuroscientists of that time. These experiments have since the 50s been brutal, destroying every aspect of a person’s life, while hiding behind curtains of National Security and secrecy but also behind psychiatry diagnosis.
The second is that its backside –mind reading, thought police, surveillance, pre-crime, behavior modification, control of citizen’s behavior; tastes, dreams, feelings and wishes; identities; personalities and not to mention the ability to torture and kill anyone from a distance — is completely ignored. All the important ethical issues dealing with the most special aspects of being a free human being living a full human life are completely dismissed. The praise of the machine in these discourses dealing with not only transhumanism ideals but also neuroscience today has a cost and that is complete disrespect, despise and underestimation of human beings, at least when it comes to their bodies, abilities and biological functions. The brain is though seen as the only valuable thing; not just because of its complexity and mysteries, but also because it can create consciousness and awareness. We’re prone to diseases, we die, we make irrational decisions, we’re inconsistent, and we need someone to look up to. In a radio interview on Swedish “Filosofiska rummet” entitled “Me and my new brain” (Jag och min nya hjärna), neuroscientist Martin Ingvar referred to the human body as a “bad frame for the brain”. Questions about individual free will and personal identity were discussed and the point of view of Martin Ingvar was very much in line with José Delgado’s some 60 years ago, and its buried history of mind control: we don’t really have any choice, we’re not really having a free will or for that matter any consistent personality. This would be enough reason to change humans to whatever someone else wishes. For example, an elite.
Another reason for why this issue dealing with brain implants is important of course is the fact that both the US and the EU pour billions of dollars and euros in brain research every single year, a brain research very focused on not only understanding the brain, but also highly focused on merging human beings with machines; using neuro-implants to correct behavior and enhance intelligence; creating robots and other machines that think and make autonomous intelligent decisions — just like humans do.
Ray Kurzweil, who’s predictions about future technological developments have been correct at least until now, claims that in 20 years, implant-technology has advanced that far that humanity has been completely transformed by it. We cannot know right now whether he’s prediction is right or wrong, but we have the right to decide on the kind of future we want. I do not know if eradicating humanity as we know it is the best future or the only alternative. Today, we might still have a choice.
Something to think about: Can you research the depths of the human brain on mice?
Copyright Carmen Lupan
Published time: June 20, 2013 16:02
There are around 377 million results on Google.com for the query “Can I live forever?” Ask that question to company’s top engineer, though, and you’re likely to hear an answer that’s much more concise.
Simply put, Google’s Ray Kurzweil says immortality is only a few years away. Digital immortality, at least.
Kurzweil, 64, was only brought on to Google late last year, but that hasn’t stopped him from making headlines already. During a conference in New York City last week, the company’s director of engineering said that the growth of biotechnology is so quickly paced that that he predicts our lives will be drastically different in just a few decades.
According to Kurzweil, humans will soon be able to upload their entire brains onto computers. After then, other advancements won’t be too far behind.
“The life expectancy was 20, 1,000 years ago,” Kurzweil said over the weekend at the Global Future 2045 World Congress in New York City, CNBC’s Cadie Thompson reported. “We doubled it in 200 years. This will go into high gear within 10 and 20 years from now, probably less than 15, we will be reaching that tipping point where we add more time than has gone by because of scientific progress.”
“Somewhere between 10 and 20 years, there is going to be tremendous transformation of health and medicine,” he said.
In his 2005 book “The Singularity Is Near,” Kurzweil predicted that ongoing achievements in biotechnology would mean that by the middle of the century, “humans will develop the means to instantly create new portions of ourselves, either biological or nonbiologicial,” so that people can have “a biological body at one time and not at another, then have it again, then change it.” He also said there will soon be “software-based humans” who will “live out on the Web, projecting bodies whenever they need or want them, including holographically projected bodies, foglet-projected bodies and physical bodies comprising nanobot swarms.”
Those nanobot swarms might still be a bit away, but given the vast capabilities already achieved since the publication of his book, Kurzweil said in New York last week that more and more of the human body will soon be synced up to computers, both for backing up our thoughts and to help stay in good health.
“There’s already fantastic therapies to overcome heart disease, cancer and every other neurological disease based on this idea of reprogramming the software,” Kurzweil at the conference. “These are all examples of treating biology as software. …These technologies will be a 1,000 times more powerful than they were a decade ago. …These will be 1,000 times more powerful by the end of the decade. And a million times more powerful in 20 years.”
In “The Singularity Is Near,” Kurzweil acknowledged that Moore’s Law of Computer suggests that the power of computer doubles, on average, every two years. At that rate, he wrote, “We’re going to become increasingly non-biological to the point where the non-biological part dominates and the biological part is not important anymore.”
“Based on conservative estimates of the amount of computation you need to functionally simulate a human brain, we’ll be able to expand the scope of our intelligence a billion-fold,” The Daily Mail quoted Kurzweil.
Kurzweil joined Google in December 2012 and is a 1999 winner of the National Medal of Technology and Innovation. In the 1970s, Kurzweil was responsible for creating the first commercial text-to-speech synthesizer.
Optogenetics, a recently developed technique that uses light to map and control brain activity, requires the genetic modification of an animal’s brain cells and the insertion of optical fibers and electrical wire into its brain. The bulky wires and fibers emerge from the skull, hampering the animal’s movement and making it difficult to perform certain experiments that could lead to breakthroughs for Parkinson’s disease, addiction, depression, and spinal cord injuries.
But now, a new ultrathin, flexible device laden with light-emitting diodes and sensors, both the size of individual brain cells, promises to make optogenetics completely wireless. The 20-micrometer-thick device can be safely injected deep into the brain and controlled and powered using radio-frequency signals. Its developers say the technology could also be used in other parts of the body, with broad implications for medical diagnosis and therapy.
In optogenetics, scientists genetically modify neurons to make them sensitive to particular wavelengths of light. Shining light on the altered neurons turns them on or off, allowing scientists to control specific brain circuits and change animal behavior.
The implant is a stack of four different optoelectronics devices that the researchers create separately on flexible polymer substrates and then glue on top of one another. The topmost layer is a platinum microelectrode for stimulating and recording from neurons. Below that is a silicon photodetector, followed by a group of four microscale LEDs that are each just 50 by 50 micrometers. Last comes a platinum-based temperature sensor. The filament carrying the stack is glued onto a microneedle with a silk-based glue that dissolves once the device has been injected into the targeted spot, allowing the researchers to retract the microneedle.
The technique for making the membranous devices is not new. Developed a few years ago in Rogers’s lab, it involves growing stacks of thin semiconductor films, peeling them off one at a time with a rubber stamp, and transferring them to plastic substrates.
Scientists could use the multifunctional system to stimulate and sense the brain in a variety of ways, Bruchas explains. The microelectrode can measure the electrical signals produced by neurons, and it can also be used to stimulate them. The photodiodes ensure that the LEDs are working, but they can also be used to detect light signals generated by neurons that have been genetically modified to make certain fluorescent proteins.
The micro-LEDs, which have dimensions comparable to individual neurons, could trigger individual neurons, unlike the fiber-optic implants typically used in optogenetics, which are four times as wide. The researchers could also combine different-colored LEDs on the same device and use them to simultaneously control neurons that have been engineered to react to different colors. Such multiplexing would allow neuroscientists to analyze brain circuits more precisely, Bruchas says. Finally, the temperature sensor monitors the heat generated by the LEDs to prevent the tissue from overheating.
When the researchers placed the device—which connects to an RF power module mounted on the animal’s head—inside the brains of living mice, it caused no inflammation or infection. To test the system’s ability to alter animal behavior, the researchers embedded it near a particular group of neurons that they had genetically altered to release dopamine when cued with light. The neurochemical dopamine is involved in the body’s “rewards” system, such as with food or sex, and it plays a part in several addictive drugs.
ABSTRACT – Successful integration of advanced semiconductor devices with biological systems will accelerate basic scientific discoveries and their translation into clinical technologies. In neuroscience generally, and in optogenetics in particular, the ability to insert light sources, detectors, sensors, and other components into precise locations of the deep brain yields versatile and important capabilities. Here, we introduce an injectable class of cellular-scale optoelectronics that offers such features, with examples of unmatched operational modes in optogenetics, including completely wireless and programmed complex behavioral control over freely moving animals. The ability of these ultrathin, mechanically compliant, biocompatible devices to afford minimally invasive operation in the soft tissues of the mammalian brain foreshadow applications in other organ systems, with potential for broad utility in biomedical science and engineering.
There are only a handful of scientific revolutions that would really change the world. An immortality pill would be one. A time machine would be another.
Faster-than-light travel, allowing the stars to be explored in a human lifetime, would be on the shortlist, too.
To my mind, however, the creation of an artificial mind would probably trump all of these – a development that would throw up an array of bewildering and complex moral and philosophical quandaries. Amazingly, it might also be within reach.
For while time machines, eternal life potions and Star Trek-style warp drives are as far away as ever, a team of scientists in Switzerland is claiming that a fully-functioning replica of a human brain could be built by 2020.
This isn’t just pie-in-the-sky. The Blue Brain project, led by computer genius Henry Markram – who is also the director of the Centre for Neuroscience & Technology and the Brain Mind Institute – has for the past five years been engineering the mammalian brain, the most complex object known in the Universe, using some of the most powerful supercomputers in the world.
And last month, Professor Markram claimed, at a conference in Oxford, that he plans to build an electronic human brain ‘within ten years’.
If he is right, nothing will be the same again. But can such an extraordinary claim be credible? When we think of artificial minds, we inevitably think of the sort of machines that have starred in dozens of sci-fi movies.
Indeed, most scientists – and science fiction writers – have tended to concentrate on the nuts and bolts of robotics: how you make artificial muscles; how you make a machine see and hear; how you give it realistic skin and enough tendons and ligaments underneath that skin to allow it to smile convincingly.
But what tends to be glossed over is by far the most complex problem of all: how you make a machine think.
This problem is one of the central questions of modern philosophy and goes to the very heart of what we know, or rather do not know, about the human mind.
Most of us imagine that the brain is rather like a computer. And in many ways, it is. It processes data and can store quite prodigious amounts of information.
‘They are copying a brain without understanding it’
But in other ways, a brain is quite unlike a computer. For while our computers are brilliant at calculating the weather forecast and modelling the effects of nuclear explosions – tasks most often assigned to the most powerful machines – they still cannot ‘think’.
We cannot be sure this is the case. But no one thinks that the laptop on your desk or even the powerful mainframes used by the Met Office can, in any meaningful sense, have a mind.
So what is it, in that three pounds of grey jelly, that gives rise to the feeling of conscious self-awareness, the thoughts and emotions, the agonies and ecstasies that comprise being a human being?
This is a question that has troubled scientists and philosophers for centuries. The traditional answer was to assume that some sort of ‘soul’ pervades the brain, a mysterious ‘ghost in the machine’ which gives rise to the feeling of self and consciousness.
If this is the case, then computers, being machines not flesh and blood, will never think. We will never be able to build a robot that will feel pain or get angry, and the Blue Brain project will fail.
But very few scientists still subscribe to this traditional ‘dualist’ view – ‘dualist’ because it assumes ‘mind’ and ‘matter’ are two separate things.
Instead, most neuroscientists believe that our feelings of self-awareness, pain, love and so on are simply the result of the countless billions of electrical and chemical impulses that flit between its equally countless billions of neurons.
So if you build something that works exactly like a brain, consciousness, at least in theory, will follow.
In fact, several teams are working to prove this is the case by attempting to build an electronic brain. They are not attempting to build flesh and blood brains like modern-day Dr Frankensteins.
They are using powerful mainframe computers to ‘model’ a brain. But, they say, the result will be just the same.
Two years ago, a team at IBM’s Almaden research lab at Nevada University used a BlueGene/L Supercomputer to model half a mouse brain.
Half a mouse brain consists of about eight million neurons, each of which can form around 8,000 links with neighbouring cells.
Creating a virtual version of this pushes a computer to the limit, even machines which, like the BlueGene, can perform 20trillion calculations a second.
The ‘mouse’ simulation was run for about ten seconds at a speed a tenth as fast as an actual rodent brain operates. Nevertheless, the scientists said they detected tell-tale patterns believed to correspond with the ‘thoughts’ seen by scanners in real-life mouse brains.
It is just possible a fleeting, mousey, ‘consciousness’ emerged in the mind of this machine. But building a thinking, remembering human mind is more difficult. Many neuroscientists claim the human brain is too complicated to copy.
Markram’s team is undaunted. They are using one of the most powerful computers in the world to replicate the actions of the 100billion neurons in the human brain. It is this approach – essentially copying how a brain works without necessarily understanding all of its actions – that will lead to success, the team hopes. And if so, what then?
Well, a mind, however fleeting and however shorn of the inevitable complexities and nuances that come from being embedded in a body, is still a mind, a ‘person’. We would effectively have created a ‘brain in a vat’. Conscious, aware, capable of feeling, pain, desire. And probably terrified.
And if it were modelled on a human brain, we would then have real ethical dilemmas. If our ‘brain’ – effectively just a piece of extremely impressive computer software – could be said to know it exists, then do we assign it rights?
Would turning it off constitute murder? Would performing experiments upon it constitute torture?
And there are other questions, too, questions at the centre of the nurture versus nature debate. Would this human mind, for example, automatically feel guilt or would it need to be ‘taught’ a sense of morality first? And how would it respond to religion? Indeed, are these questions that a human mind asks of its own accord, or must it be taught to ask them first?
Thankfully, we are probably a long way from having to confront these issues. It is important to stress that not one scientist has provided anything like a convincing explanation for how the brain works, let alone shown for sure that it would be possible to replicate this in a machine.
Not one computer or robot has come near passing the famous ‘Turing Test’, devised by the brilliant Cambridge scientist Alan Turing in 1950, to prove whether a machine could think.
It is a simple test in which someone is asked to communicate, using a screen and keyboard, with a computer trying to mimic a human, and another, real human. If the judge cannot tell the machine from the other person, the computer has ‘passed’ the test. So far, every computer we have built has failed.
Yet, if the Blue Brain project succeeds, in a few decades – perhaps sooner – we will be looking at the creation of a new intelligent lifeform on Earth. And the ethical dilemmas we face when it comes to experimenting on animals in the name of science will pale into insignificance when faced with the potential torments of our new machine mind.
Susanne Posel, Contributor
Science and religion meet at the intersection of a $55 million grant gifted to UC Riverside in Pennsylvania by the John Templeton Foundation for further research into an afterlife and immortality.
John Martin Fischer, philosophy professor from UC Riverside, will host conferences and oversee post-doctoral students running a website that centers around immortality; along with international consensus where psychologists and neuroscientists from across the globe will convene.
Headed by Dimitry Itskov, the Avatar Project, an off-shoot of 2045, will house human brains in disembodied vehicles. They will initially be transplanted into robots, then humans by 2045 with the advancement of reverse-engineering; an effective “downloading” of human consciousness onto a computer chip.
DARPA is extremely interested in Avatar for the allocation of bi-pedal robots and essential super-soldiers and have devoted $7 million of its $2.8 billion 2012 budget to developing “interfaces and algorithms to enable a soldier to effectively partner with a semi-autonomous bi-pedal machine and allow it to act as the soldier’s surrogate.”
These human-controlled robots will be strong enough to “clear a room” and “facilitate sentry control and combat causality recovery.” Yet these “terminators” would easily be the most effective weapon against civil unrest or radical revolutionaries that did not subscribe to the globalist agenda.
The globalists at the 2045 Program assert that humanity “is in need of a new evolutionary strategy” consisting of a balance between the complexity of technological advances and the acceleration of informational processes to expand the “limited, primitive human” into a “highly self-organized” and technologically “higher intelligence”.
Technology can organize society and integrate unification of a super collective consciousness – a superbeing.
By doing away with individuality, the conclusion is the elimination of:
Superpeople are the epitome of communitarianism and collectivism as the new globalist vision of society marches toward immortal superpeople.
Because communitarianism is the ideology of the importance of community over the individual, the creation of a communalist society is the emphatic over-reaching value that if it does not provide for the whole, it is not worth pursuit.
The concept of the neo-human and neo-humanity is the replacement for a post-industrial capitalist and consumer-based society where a new form of civilization will emerge.
At the Global Future 2045 International Conference in 2013, scientists from all corners of the globe along with experts in nanotechnology, biotechnology, transbiology and other sciences will suggest a collaborative evolution of humanity into an transcendent era where the UN’s agenda of population transformation will be implemented.
A new model for society that adheres to the globalist ideologies of merging controllable humans with machines to facilitate a new race of human being that is led by artificial intelligence plunged into the global AI computer system and functions simply to be an autonomous workforce for the global Elite.
The goal of transhumanism is to replace all existing laws with the purpose of destroying the essence of humanity for the sake of control. Hybrid humans with robotic implants are expected to be released into the general public by 2014.
Humanity+, “an international nonprofit membership organization which advocates the ethical use of technology to expand human capacities”.
In their Transhumanist Declaration they advocate old and new ideals of globalist transhumanism by promoting:
The Transhumanist Agenda uses eugenics, reproductive controls, sterilization campaigns, genetic engineering, RFID chips and rewiring of the brain through pharmaceuticals to achieve their goals. Their quest for immortality with the merging of human and machine is just one part in their convoluted scheme to retain their global dominance over our society.
For now, the general public is guinea pigs to be used to prefect their experiments so that by 2050, they will have full implemented their control grid and there will be no one to dissent.
Computers, like humans, can learn. But when Google tries to fill in your search box based only on a few keystrokes, or your iPhone predicts words as you type a text message, it’s only a narrow mimicry of what the human brain is capable of.The challenge in training a machine to behave like a human brain is technological and physiological, testing the limits of computer and neuroscience. But IBM researchers say they’ve made a key step toward combining the two worlds.
The company announced it has built two prototype chips that it says process data more like how humans digest information than the chips that now power PCs and supercomputers.The chips represent a milestone in a six-year project that has involved 100 researchers and $41 million in funding from the government’s Defense Advanced Research Projects Agency, or DARPA. IBM has also committed an undisclosed amount of money.
The prototypes offer further evidence of the growing importance of “parallel processing,” or computers doing multiple tasks simultaneously. That is important for rendering graphics and crunching large amounts of data.
The uses of the IBM chips so far are prosaic, such as steering a simulated car through a maze, or playing Pong. It may be a decade or longer before the chips make their way out of the lab and into actual products.
But what’s important is not what the chips are doing, but how they’re doing it, said Giulio Tononi, a professor of psychiatry at the University of Wisconsin at Madison who worked with IBM on the project.The chips’ ability to adapt to types of information that they weren’t specifically programmed to expect is a key feature.
“There’s a lot of work to do still, but the most important thing is usually the first step,” Tononi said in an interview. “And this is not one step; it’s a few steps.”
Technologists have long imagined computers that learn like humans. Your iPhone or Google’s servers can be programmed to predict certain behavior based on past events. But the techniques being explored by IBM and other companies and university research labs around “cognitive computing” could lead to chips that are better able to adapt to unexpected information.
IBM’s interest in the chips lies in their ability to potentially help process real-world signals, such as temperature or sound or motion, and make sense of them for computers.
IBM, based in Armonk, N.Y., is a leader in a movement to link physical infrastructure, such as power plants or traffic lights, and information technology, such as servers and software that help regulate their functions. Such projects can be made more efficient with tools to monitor the myriad analog signals present in those environments.Dharmendra Modha, project leader for IBM Research, said the new chips have parts that behave like digital “neurons” and “synapses” that make them different from other chips. Each “core,” or processing engine, has computing, communication and memory functions.
“You have to throw out virtually everything we know about how these chips are designed,” he said. “The key, key, key difference really is the memory and the processor are very closely brought together. There’s a massive, massive amount of parallelism.”
The project is part of the same research that led to IBM’s announcement in 2009 that it had simulated a cat’s cerebral cortex, the thinking part of the brain, using a massive supercomputer. Using progressively bigger supercomputers, IBM previously had simulated 40 percent of a mouse’s brain in 2006, a rat’s full brain in 2007, and 1 percent of a human’s cerebral cortex in 2009.
A computer with the power of a human brain is not yet near. But Modha said the latest development is an important step.
“It really changes the perspective from ‘What if?’ to ‘What now?’” Modha said. “Today we proved it was possible. There have been many skeptics, and there will be more, but this completes in a certain sense our first round of innovation.”
– Associated Press
PUBLISHED: 18:27 GMT, 15 April 2012 | UPDATED: 19:14 GMT, 15 April 2012
The human brain’s power could rival any machine. And now scientists are trying to build one using the world’s most powerful computer.
It is intended to combine all the information so far uncovered about its mysterious workings – and replicate them on a screen, right down to the level of individual cells and molecules.
If it works it could be revolutionary for understanding devastating neurological diseases such as Alzheimer’s and Parkinson’s, and even shedding light into how we think, and make decisions.
Leading the project is Professor Henry Markram based in Switzerland, who will be working with scientists from across Europe including the Wellcome Trust Sanger Institute at Cambridge.
They hope to complete it within 12 years. He said: ‘The complexity of the brain, with its billions of interconnected neurons, makes it hard for neuroscientists to truly understand how it works.
‘Simulating it will make it much easier – allowing them to manipulate and measure any aspect of the brain.’
Housed at a facility in Dusseldorf in Germany, the ‘brain’ will feature thousands of three-dimensional images built around a semi-circular ‘cockpit’ so scientists can virtually ‘fly’ around different areas and watch how they communicate with each other.
It aims to integrate all the neuroscience research being carried out all over the world – an estimated 60,000 scientific papers every year – into one platform.
The project has received some funding from the EU and has been shortlisted for a 1 billion euro (£825million) EU grant which will be decided next month.
When complete it could be used to test new drugs, which could dramatically shorten the time required for licencing them than human trials, and pave the way for more intelligent robots and computers.
There are inevitably concerns about the consequences of this ‘manipulation’ and creating computers which can think for themselves. In Germany the media have dubbed the researchers ‘Team Frankenstein’.
But Prof Markram said: ‘This will, when successful, help two billion people annually who suffer from some type of brain impairment.
‘This is one of the three grand challenges for humanity. We need to understand earth, space and the brain. We need to understand what makes us human.’
Over the past 15 years his team have painstakingly studied and managed to produce a computer simulation of a cortical column – one of the small building blocks of a mammal’s brain.
They have also simulated part of a rat’s brain using a computer. But the human brain is a totally different proposition.