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Hitler would have loved The Singularity

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Hitler would have loved The Singularity: Mind-blowing benefits of merging human brains and computers

By IAN MORRIS, PROFESSOR OF CLASSICS AND HISTORY AT STANFORD UNIVERSITY
UPDATED: 11:24 GMT, 6 February 2012

Read more: http://www.dailymail.co.uk/debate/article-2096522/The-singularity-Mind-blowing-benefits-merging-human-brains-computers.html#ixzz1qFG6QO7r

Of all the tall tales in the science-fiction TV series Star Trek, what impressed me most when I was a  little boy was the Vulcan mind meld.

Laying his hands on the head of a human (or, in one of the films, a humpback whale), Mr Spock could, for a moment, dissolve the distance between two living things.

Each experienced everything the other felt, thought, knew and saw.

Now it seems scientists are about to make the Vulcan mind meld a reality – and go far beyond it.

Ten years ago, the US National Science Foundation predicted ‘network-enhanced telepathy’ – sending thoughts over the internet – would be practical by the 2020s.

Man and machine: Computers could soon be hardwired into the human brain and unlock amazing power.

And thanks to neuroscientists at the University of California, we seem to be on schedule.

Last September, they asked volunteers to watch Hollywood film trailers and then reconstructed the clips by scanning their subjects’ brain activity.

‘We’re opening a window into the movies in our minds,’ Professor Jack Gallant announced.

Last week, the scientists boldly went further still. They charted the electrical activity in the brains of volunteers who were listening to human speech and then they fed the results into computers which translated the signals back into language.

The technique remains crude, and has so far made out only five distinct words, but humanity has crossed a threshold.

We can now read people’s minds. On Star Trek, the Vulcan mind meld had medical benefits, curing a nasty imaginary infection called Pa’nar syndrome.

Science fact soon?: The Vulcan mind meld

 

Science fact: Harnessing the power of the mind was a favourite of science fiction, including Star Trek’s Vulcan mind meld

But the new breakthroughs promise to deliver much greater – and real – benefits.

No longer need strokes and neurodegenerative diseases rob people of speech because we can turn their brainwaves directly into words.

But this is only the beginning. Neuroscientists are going to make the mind meld look like child’s play. Mankind is merging with its machines.

The process began centuries ago with simple devices such as eyeglasses and ear trumpets that could dramatically improve human lives.

Then came better machines, such as hearing aids; and then machines that could save lives, including pacemakers and dialysis machines.

By the second decade of the 21st Century, we have become used to organs grown in laboratories, genetic surgery and designer babies.


By 2020 we may be able to put even cleverer nanocomputers into our brains to speed up  synaptic links, give ourselves perfect memory and perhaps cure dementia.

But inserting technology into human brains is not the only thing going on. Some scientists also want to insert human brains into technology.

Since the Sixties, computer chips have been doubling their speed and halving their cost every 18 months or so.

If the trend continues, the inventor and predictor Ray Kurzweil has pointed out that by 2029 we will have computers powerful enough to run programs  reproducing the 10,000 trillion electrical signals that flash around your skull every second. 

They will also have enough memory to store the ten trillion recollections that make you  who you are.

Adolf Hitler

 

Dangerous technology: The huge potential unlocked by the technology raises frightening prospects if it were to be used by evil dictators like Adolf Hitler

And they will also be powerful enough to scan, neuron by neuron, every contour and wrinkle of your brain.

What this means is that if the trends of the past 50 years continue, in 17 years’ time we will be able to upload an electronic replica of your mind on to a machine.

There will be two  of you – one a flesh-and-blood animal, the other inside a computer’s circuits.

And if the trends hold fast beyond that, Kurzweil adds, by 2045 we will have a computer that is powerful enough to host every one of the eight billion minds on Earth.

Carbon and  silicon-based intelligence will merge to form a single global consciousness.

Kurzweil calls this ‘The Singularity’, a moment when ‘the pace of technological change will be so rapid, its impact so deep . . . that technology appears to be expanding at infinite speed’. 

At that point, we will have  left the Vulcan mind meld far behind. But even this may not be the end of the story.

Much of the research behind last week’s breakthrough in brain science was funded not by universities but by DARPA, the US Defence Advanced Research Projects Agency.

It was DARPA that brought us the internet (then called the Arpanet) in the Seventies, and DARPA’s Brain Interface Project was a pioneer in molecular computing.

More recently, DARPA’s Silent Talk programme has been exploring mind-reading technology with devices that can pick up the electrical signals inside soldiers’ brains and send them over the internet. 

With these implants, entire armies will be able to talk without radios. Orders will leap instantly into soldiers’ heads and commanders’ wishes will become the wishes of their men. Hitler would have loved it.

Thing of the past: Advances in technology could revolutionise the way armies communicate 
Thing of the past: Advances in technology could revolutionise the way armies communicate
U.S. Special Forces soldier 

Cyborg-soldier: The defence industry could soon try implanting computer technology into the brain of soldiers

Some of the clearest thinking about the new technologies has been done in the world’s departments of defence, and the conclusions the soldiers draw are alarming.

For example, US Army Colonel Thomas Adams thinks that military technology is already moving beyond what he calls ‘human space’, as robotic weapons become ‘too fast, too small, too numerous, and . . . create an environment too complex for humans to direct’.

Technology, Col Adams suspects, is ‘rapidly taking us to a place where we may not want to go, but probably are unable to avoid’.

As goes war, so,  perhaps, goes everything else. The merging of mankind and its machines that Kurzweil predicts for the mid-21st Century may, in fact, turn out just to be a lay-by on the way to a very different destination.

Later in the century, what we condescendingly call ‘artificial’ intelligence might replace us humans just as thoroughly as we humans once replaced all our evolutionary ancestors. 

All this will come to pass . . .  unless, of course, it doesn’t. Maybe the trends Kurzweil and Col Adams identify will slow down, or even stall altogether.

And maybe the critics who mockingly call the Singularity ‘the Rapture for Nerds’ will be proved right. 

But on the other hand, maybe the Nobel Prize-winning chemist Richard Smalley is closer to the truth when he points out: ‘When a scientist says something is possible, they’re probably underestimating how long it will take.

But if they say it’s impossible, they’re probably wrong.’

The University of California’s neuroscientists have taken us one more step towards a final frontier far beyond anything dreamed of in Star Trek.

Read more: http://www.dailymail.co.uk/debate/article-2096522/The-singularity-Mind-blowing-benefits-merging-human-brains-computers.html#ixzz1qFFXvcyU

 

Project Bluebeam & Diffuse Artificial Thought

“The advancement of techniques propel us toward the third step in the Blue Beam Project that goes along with the telepathic and electronically augmented two-way communication (nano brain implant) where ELF, VLF and LF waves will reach each person from within his or her own mind, convincing each of them that their own reality is speaking to them from the very depths of their own soul. Such rays from satellites are fed from the memories of computers that have stored massive data about humans on earth, and their languages. The rays will then interlace with their natural thinking to form what we call diffuse artificial thought.”

So how could that be possible you ask? Easy. Enter Project Joshua Blue, currently under development by our favourite business machines company, IBM. Joshua Blue is a program with the stated goal of “Evolving an Emotional Mind in a Simulated Environment”, “to enhance artificial intelligence by evolving such capacities as common sense reasoning, natural language understanding, and emotional intelligence, acquired in the same manner as humans acquire them, through learning situated in a rich environment.”

Read more…

The Mind Has No Firewall,,,

 

Can You Live Forever? Maybe Not–But You Can Have Fun Trying

In this chapter from his new e-book, journalist Carl Zimmer tries to reconcile the visions of techno-immortalists with the exigencies imposed by real-world biology

By Carl Zimmer December 22, 2010 | 28

 

Read  link here:  http://www.scientificamerican.com/article.cfm?id=e-zimmer-can-you-live-forever

 

Brain 101

Videos

 

Henry Markram says the mysteries of the mind can be solved — soon. Mental illness, memory, perception: they’re made of neurons and electric signals, and he plans to find them with a supercomputer that models all the brain’s 100,000,000,000,000 synapses.

TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the “Sixth Sense” wearable tech, and “Lost” producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts.

Read moore on:  www.mindcontrol.se 

 

Not yet published research materials in interdisciplinary brain research and development of computer-brain interface must therefore be attributed to an unknown number of defenseless experimental subjects, many with families whose lives are destroyed in a wild orgy of computer abuse.This is to copy the cognitive behaviors and human perception in the development of quantum physics.Try The items have no options or informed consent, served as on-line research materials on aging.

Mind Control / Uploading ,,,


MIND CONTROL SWEDEN 2010

The Mind Has No Firewall,,,

Brainnetworl minduploading

That some of today’s cutting-edge neuroscience breakthroughs in nanotechnology, computer-brain integration and information technologies not yet recognized because they are too controversial with regard to the prevailing legal and IT policy and medical diagnostics.

The age of pharmaceutical microchipping is now upon us. Novartis AG, one of the largest drug companies in the world, has announced a plan to begin embedding microchips in medications to create “smart pill” technology.

The microchip technology is being licensed from Proteus Biomedical of Redwood City, California. Once activated by stomach acid, the embedded microchip begins sensing its environment and broadcasting data to a receiver warn by the patient. This receiver is also a transmitter that can send the data over the internet to a doctor.

 

EURON: European Robotics research Network

EURON is a shorthand for “EUropean RObotics research Network”. It is the community of more than 225 academic and industrial groups in Europe with a common interest in doing advanced research and development to make better robots.”

The chosen name doesn’t probably only have to do with the research on robotics but also on the huge amount of money that it will generate in the future.

 

euron.jpg?mtime=1295797532

The Network brings together researchers and commercial companies working on artificial perception systems to model neuronal functions and cognitive processes, to optimize existing learning algorithms and to realize intelligent artificial systems.

Cyberhand

Cyberhand is a project funded by EU Future Emerging Technology Program robotic hand for replacement of lost limbs. The hand is designed to respond to signals from the human nervous system.

Blue Brain Project

BBP is a massive cooperative project of EPFL (Switzwerland) and IBM. It uses IBMs super computer Blue Gene to through reverse engineering copy the whole human brain.

BBCI

The Berlin Brain Computer Interface (BBCI) is a collaboration between German researchers to develop BCI technology for commercial and medical uses.

PRESENCCIA

A 7 million euros EC-funded collaboration among 15 different laboratories in 7 countries for the purpose of developing virtual reality environments with BCI applications.

GRIP

A collaborative project of 5 European countries – paralyzed human hand.

NEUROBOTICS

Focuses on basic research fusing neuroscience and robotics to design, develop and test, tele-operated robotic systems to help restore personal autonomy to sensory-motor-disabled persons.

The idea behind all this is to create “smart pills” that can sense what’s happening in the body and deliver that information to the patient’s doctor. Novartis plans to start microchipping its organ transplant anti-rejection drugs and then potentially expand microchipping to otherpharmaceuticals in its product lineup. This same technology could soon end up in pills made by other drug companies, too.

 

SMARTER THAN YOU THINK

New York Times

Aiming to Learn as We Do, a Machine Teaches Itself

05computespan-articleLarge.jpg

 

Jeff Swensen for The New York Times

 

New York Timeshttp://www.nytimes.com/2010/10/05/science/05compute.html

 

NELL’S TEAM Tom M. Mitchell, center, and, from left, William Cohen, Jayant Krishnamurthy, Justin Betteridge, Derry Wijaya and Bryan Kisiel.

 

Give a computer a task that can be crisply defined — win at chess, predict the weather — and the machine bests humans nearly every time. Yet when problems are nuanced or ambiguous, or require combining varied sources of information, computers are no match for human intelligence.

Smarter Than You Think

Grasping Language

Articles in this series are examining the recent advances in artificial intelligence and robotics and their potential impact on society.


Few challenges in computing loom larger than unraveling semantics, understanding the meaning of language. One reason is that the meaning of words and phrases hinges not only on their context, but also on background knowledge that humans learn over years, day after day.

Since the start of the year, a team of researchers atCarnegie Mellon University — supported by grants from the Defense Advanced Research Projects AgencyandGoogle, and tapping into a research supercomputing cluster provided by Yahoo — has been fine-tuning a computer system that is trying to master semantics by learning more like a human. Its beating hardware heart is a sleek, silver-gray computer — calculating 24 hours a day, seven days a week — that resides in a basement computer center at the university, in Pittsburgh. The computer was primed by the researchers with some basic knowledge in various categories and set loose on the Web with a mission to teach itself.

“For all the advances in computer science, we still don’t have a computer that can learn as humans do, cumulatively, over the long term,” said the team’s leader, Tom M. Mitchell, a computer scientist and chairman of the machine learning department.

The Never-Ending Language Learning system, or NELL, has made an impressive showing so far. NELL scans hundreds of millions of Web pages for text patterns that it uses to learn facts, 390,000 to date, with an estimated accuracy of 87 percent. These facts are grouped into semantic categories — cities, companies, sports teams, actors, universities, plants and 274 others. The category facts are things like “San Francisco is a city” and “sunflower is a plant.”

NELL also learns facts that are relations between members of two categories. For example, Peyton Manning is a football player (category). The Indianapolis Colts is a football team (category). By scanning text patterns, NELL can infer with a high probability that Peyton Manning plays for the Indianapolis Colts — even if it has never read that Mr. Manning plays for the Colts. “Plays for” is a relation, and there are 280 kinds of relations. The number of categories and relations has more than doubled since earlier this year, and will steadily expand.

The learned facts are continuously added to NELL’s growing database, which the researchers call a “knowledge base.” A larger pool of facts, Dr. Mitchell says, will help refine NELL’s learning algorithms so that it finds facts on the Web more accurately and more efficiently over time.

NELL is one project in a widening field of research and investment aimed at enabling computers to better understand the meaning of language. Many of these efforts tap the Web as a rich trove of text to assemble structured ontologies — formal descriptions of concepts and relationships — to help computers mimic human understanding. The ideal has been discussed for years, and more than a decade ago Sir Tim Berners-Lee, who invented the underlying software for the World Wide Web, sketched his vision of a “semantic Web.”

Today, ever-faster computers, an explosion of Web data and improved software techniques are opening the door to rapid progress. Scientists at universities, government labs, Google, MicrosoftI.B.M. and elsewhere are pursuing breakthroughs, along somewhat different paths.

For example, I.B.M.’s “question answering” machine, Watson, shows remarkable semantic understanding in fields like history, literature and sports as it plays the quiz show “Jeopardy!” Google Squared, a research project at the Internet search giant, demonstrates ample grasp of semantic categories as it finds and presents information from around the Web on search topics like “U.S. presidents” and “cheeses.”

Still, artificial intelligence experts agree that the Carnegie Mellon approach is innovative. Many semantic learning systems, they note, are more passive learners, largely hand-crafted by human programmers, while NELL is highly automated. “What’s exciting and significant about it is the continuous learning, as if NELL is exercising curiosity on its own, with little human help,” said Oren Etzioni, a computer scientist at the University of Washington, who leads a project called TextRunner, which reads the Web to extract facts.

Computers that understand language, experts say, promise a big payoff someday. The potential applications range from smarter search (supplying natural-language answers to search queries, not just links to Web pages) to virtual personal assistants that can reply to questions in specific disciplines or activities like health, education, travel and shopping.

“The technology is really maturing, and will increasingly be used to gain understanding,” said Alfred Spector, vice president of research for Google. “We’re on the verge now in this semantic world.”

With NELL, the researchers built a base of knowledge, seeding each kind of category or relation with 10 to 15 examples that are true. In the category for emotions, for example: “Anger is an emotion.” “Bliss is an emotion.” And about a dozen more.

 

Read more…