THE Reality of Magnus Olsson’s blood – doctor’s report

THE Reality of Magnus Olsson’s blood – doctor’s report

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During my staying in Poland, in Lublin I met a specialist Dr, who took a sample of my blood from my finger and we watched this together through an atomic microscope.

I will not now describe what is wrong with my blood, but I want you to notice the cristal which was made artificially.

what this is doing to me:

  1. 1. makes my blood, not circulate in a natural manner ( blood is too dense )
  2. 2. damage DNA
  3. 3. Influence memory ( lack of memory )
  4. 4. you can not walk normally nor run
  5. 5. destroy your skin ( you may have albinism )
  6. 6. having a hard time sleeping
  7. 7. easy access to the brain
  8. 8. lack of oxygen

and many other symptoms…

There are millions of this in my blood. Every victim should do this checking with a doctor who knows about People Online and will check this blood with you through a atomic microscope.

This, together with the waves  RF, ELF, SCALAR, NEUTRINOS, QUATUM SPECTRA, LASER, SONAR and others is devastating.

Magnus Olssons blood

The most important for us is to secure ourselves and then cure. I am now working on a breathtaking solution for all of us, and I hope we will be free pretty soon. Then we can recover and heal.

Love and Light

Your Magnus

THE Reality of Magnus Olsson’s blood – doctor’s report:

Crimes against humanity are certain acts that are committed as part of a widespread or systematic attack directed against any civilian population or an identifiable part of a population:
https://en.m.wikipedia.org/wiki/Crimes_against_humanity
THE PENTAGON’S BLUE-SKY research arm wants to trick out troops’ brains, from the areas that regulate alertness and cognition to pain treatment and psychiatric well-being. And the scientists want to do it all from the outside in:
http://google.co.in/patents/US3951134

https://en.m.wikipedia.org/wiki/Rayleigh_wave

https://en.m.wikipedia.org/wiki/High_Frequency_Active_Auroral_Research_Program
What if a machine could read your mind?
https://drive.google.com/file/d/0B4iZUaEgNfFfMnpyem5fX1BPTTg/view
While most developmental robotics projects strongly interact with theories of animal and human development, the degrees of similarities and inspiration between identified biological mechanisms and their counterpart in robots, as well as the abstraction levels of modeling, may vary a lot. https://en.m.wikipedia.org/wiki/Neuron_(software)
While some projects aim at modeling precisely both the function and biological implementation (neural or morphological models), such as in neurorobotics www.humanbrainproject.eu, some other projects only focus on functional modeling of the mechanisms and constraints described above, and might for example reuse in their architectures techniques coming from applied mathematics or engineering fields.
https://en.m.wikipedia.org/wiki/Developmental_robotics

https://m.facebook.com/Artificial-Brain-Sweden-1014306015294202/
What are the ethical issues involved in simulating a human brain and in technology derived from human brain simulation?
Building computer models of the brain may challenge our concepts of personhood, free will and personal responsibility, and the nature of consciousness.
(Delgado stated that “brain transmitters can remain in a person’s head for life.
The energy to activate the brain transmitter is transmitted by way of radio frequencies.
https://en.m.wikipedia.org/wiki/Jos%C3%A9_Manuel_Rodriguez_Delgado)

https://drive.google.com/file/d/0B4iZUaEgNfFfZl9iU1BpbzNJTW8/view
In medicine, brain simulation could make it easier to communicate with people who cannot speak (e.g. people with severe disabilities, people in a vegetative state or with locked-in syndrome) or to enhance cognitive function in people with cognitive disabilities (e.g. dementia, trauma and stroke victims, etc.).
https://en.m.wikipedia.org/wiki/Wetware_(brain)
As in other fields of science, it also possible that new knowledge about the brain will be abused – deliberately, for example to create new weapons – but also involuntarily, because society does not realize the power and consequences of new technologies.
https://m.facebook.com/Martin-Ingvar-KI-1528410917453814/
For instance, it may be possible in the future to use knowledge about the brain to predict and modify individual behaviour, or even to irreversibly modify behaviour through electrical stimulation of the brain, pharmacology or neurosurgery. In cases of intractable mental disease, this may be desirable, but in other cases, the costs and benefits will be debatable. One example of debate is whether society should allow cognitive enhancement in healthy people.
Similar considerations apply to technology. Future computers that implement the same principles of computation and cognitive architectures as the brain have enormous potential to improve industrial productivity and offer new services to citizens.
However, they could also be used to implement new systems of mass surveillance and new weaponry.
https://m.youtube.com/watch?v=o9bd-B2dqCM&feature=youtu.be
If such systems came into widespread use they would undoubtedly have a huge impact on patterns of daily life and employment – this could be both beneficial and detrimental
https://www.humanbrainproject.eu/faq/ethics

This is what it’s all about:
https://m.youtube.com/watch?v=01hbkh4hXEk&feature=youtu.be
The development of your Future connected to a mindreading machine:
https://www.rt.com/usa/265029-kurzweil-google-hybrid-brain/

http://www.ted.com/talks/ray_kurzweil_get_ready_for_hybrid_thinking
And the developing of Future Surveillance:
https://m.youtube.com/watch?list=PL9DCCHoTYZ8KaMFrLrUzNblMsIECi9vQ0&v=30seQeBI-Tc

https://m.youtube.com/watch?feature=youtu.be&v=pW1HACMaOME
Imagine what U.S could do if they could master the nanoparticles that are distributed in vaccine to human’s worldwide and use them for remote neural monitoring:
https://mind-computer.com/2012/12/20/remote-neural-monitoring-a-technology-used-for-controlling-the-human-brain/
Nanoparticles BMI https://en.m.wikipedia.org/wiki/Brain%E2%80%93computer_interface in vaccine:
Nanofluids also have special acoustical properties and in ultrasonic fields display additional shear-wave reconversion of an incident compressional wave; the effect becomes more pronounced as concentration increases.
https://en.m.wikipedia.org/wiki/Vaccine

https://en.m.wikipedia.org/wiki/Aluminium

http://sharpbrains.com/blog/2015/03/19/non-invasive-brain-stimulation-meets-nanotechnology/

http://globalbiodefense.com/2012/07/28/darpa-program-hits-milestone-in-plant-based-vaccines-for-pandemics/

https://en.m.wikipedia.org/wiki/Nanofluid
This speaks volumes about the hidden impact certain vaccines may have on your body and your brain in particular…
http://articles.mercola.com/sites/articles/archive/2011/08/06/vaccine-increases-narcolepsy-by-660-percent.aspx

Delgado stated that “brain transmitters can remain in a person’s head for life.
The energy to activate the brain transmitter is transmitted by way of radio frequencies.
https://en.m.wikipedia.org/wiki/Jos%C3%A9_Manuel_Rodriguez_Delgado

https://www.google.com/patents/DE10253433A1?cl=en&dq=inassignee%3A

https://archive.org/details/pubmed-PMC4086297

https://en.m.wikipedia.org/wiki/Neurorobotics

https://drive.google.com/file/d/0B4iZUaEgNfFfell0YWFFMHd3RnM/view

https://en.m.wikipedia.org/wiki/Cybernetics

https://en.m.wikipedia.org/wiki/Target_Motion_Analysis

http://www.raytheon.com/
In analysis such as computational fluid dynamics (CFD), nanofluids can be assumed to be single phase fluids.
http://www.datacenterdynamics.com/news/sgi-gives-us-military-the-fastest-supercomputer/91007.fullarticle
The Worldwide Security Grid: MATRIX Smartdust is a system of many tiny microelectromechanical systems (MEMS) such as sensors, robots, or other devices, that can detect, for example, light, temperature, vibration, magnetism, or chemicals. They are usually operated on a computer network wirelessly and are distributed over some area to perform tasks, usually sensing through radio-frequency identification.
http://www.foi.se/en/Customer–Partners/Projects/Edge1/Edge/
Without an antenna of much greater size the range of tiny smart dust communication devices is measured in a few millimeters and they may be vulnerable to electromagnetic disablement and destruction by microwave exposure.
https://en.m.wikipedia.org/wiki/Smartdust
The Grid Security Infrastructure (GSI), formerly called the Globus Security Infrastructure https://en.m.wikipedia.org/wiki/Grid_Security_Infrastructure, is a specification for secret, tamper-proof, delegatable communication between software in a grid computing environment. Secure, authenticatable communication is enabled using asymmetric encryption.
http://ieeexplore.ieee.org/xpl/login.jsp?reload=true&tp&arnumber=6028683&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6028683
In software engineering, the terms “front end” and “back end” are distinctions which refer to the separation of concerns between a presentation layer and a data access layer respectively.
The front end is an interface between the user and the back end. The front and back ends may be distributed amongst one or more systems.
In software architecture, there may be many layers between the hardware and end user. Each can be spoken of as having a front end and a back end. The front is an abstraction, simplifying the underlying component by providing a user-friendly interface.
https://en.m.wikipedia.org/wiki/Pervasive_game
In software design, for example, the model-view-controller architecture provides front and back ends for the database, the user and the data processing components. The separation of software systems into front and back ends simplifies development and separates maintenance. A rule of thumb is that the front (or “client”) side is any component manipulated by the user. The server-side (or “back end”) code resides on the server.
https://en.m.wikipedia.org/wiki/Front_and_back_ends

https://m.youtube.com/watch?v=o9bd-B2dqCM&feature=youtu.be
The Utah Data Center, also known as the Intelligence Community Comprehensive National Cybersecurity Initiative Data Center, is a data storage facility for the United States Intelligence Community that is designed to store data estimated to be on the order of exabytes or larger.
Its purpose is to support the Comprehensive National Cybersecurity Initiative (CNCI), though its precise mission is classified.
http://www.defense.gov/News/Speeches/Speech-View/Article/606635

https://www.iarpa.gov/index.php/research-programs/neuroscience-programs-at-iarpa

https://en.m.wikipedia.org/wiki/Wetware_(brain)

http://www.datacenterdynamics.com/news/sgi-gives-us-military-the-fastest-supercomputer/91007.fullarticle

http://bioethics.gov/node/4704

https://m.facebook.com/Brain-Print-1585272778401091/
The National Security Agency (NSA) leads operations at the facility as the executive agent for the Director of National Intelligence.
It is located at Camp Williams near Bluffdale, Utah, between Utah Lake and Great Salt Lake and was completed in May 2014 at a cost of $1.5 billion.
https://en.m.wikipedia.org/wiki/Utah_Data_Center

Any Questions?

http://www.lifecoachcode.com/2016/05/28/the-father-of-fractal-geometry-reveals-the-pattern/

In the computer software world, open source software concerns the creation of software, to wIntelligence.
https://en.m.wikipedia.org/wiki/List_of_artificial_intelligence_projects

https://m.facebook.com/Artificial-Genocide-1716276305283944/

https://m.facebook.com/Doomsday-Computers-AGI-ASI-516866275144461/

https://m.youtube.com/watch?list=PL9DCCHoTYZ8KaMFrLrUzNblMsIECi9vQ0&v=g1lVBNV6ztw

#NBIC #DualUseTechnology #HBP #LofarLois #Ericsson #IBM #SGI #Raytheon #NSA #MilitaryNanoTechnology  #BrainInitiative #NeuroEthics

hich access to the underlying source code is freely available.
This permits use, study, and modification without restriction.
In computer security, the debate is ongoing as to the relative merits of the full disclosure of security vulnerabilities, versus a security-by-obscurity approach.
There is a different (perhaps almost opposite) sense of transparency in human-computer interaction, whereby a system after change adheres to its previous external interface as much as possible while changing its internal behaviour.
That is, a change in a system is transparent to its users if the change is unnoticeable to them.
https://en.m.wikipedia.org/wiki/Transparency_(behavior)

All Human’s are Computers in Ubiquitous Computing that are monitored by Artificial Intelligence/Ambient

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Revolution in Artificial Intelligence,,,

 ScienceDaily: Your source for the latest research news<br /><br />
and science breakthroughs -- updated daily

 

Computer Scientist Leads the Way to the Next Revolution in Artificial Intelligence

ScienceDaily (Apr. 2, 2012) — As computer scientists this year celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest after a machine as adaptable and intelligent as the human brain.



Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing’s work to its next logical step. She is translating her 1993 discovery of what she has dubbed “Super-Turing” computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue ofNeural Computation.

“This model is inspired by the brain,” she says. “It is a mathematical formulation of the brain’s neural networks with their adaptive abilities.” The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine’s lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning.

“Each time a Super-Turing machine gets input it literally becomes a different machine,” Siegelmann says. “You don’t want this for your PC. They are fine and fast calculators and we need them to do that. But if you want a robot to accompany a blind person to the grocery store, you’d like one that can navigate in a dynamic environment. If you want a machine to interact successfully with a human partner, you’d like one that can adapt to idiosyncratic speech, recognize facial patterns and allow interactions between partners to evolve just like we do. That’s what this model can offer.”

Classical computers work sequentially and can only operate in the very orchestrated, specific environments for which they were programmed. They can look intelligent if they’ve been told what to expect and how to respond, Siegelmann says. But they can’t take in new information or use it to improve problem-solving, provide richer alternatives or perform other higher-intelligence tasks.

In 1948, Turing himself predicted another kind of computation that would mimic life itself, but he died without developing his concept of a machine that could use what he called “adaptive inference.” In 1993, Siegelmann, then at Rutgers, showed independently in her doctoral thesis that a very different kind of computation, vastly different from the “calculating computer” model and more like Turing’s prediction of life-like intelligence, was possible. She published her findings in Science and in a book shortly after.

“I was young enough to be curious, wanting to understand why the Turing model looked really strong,” she recalls. “I tried to prove the conjecture that neural networks are very weak and instead found that some of the early work was faulty. I was surprised to find out via mathematical analysis that the neural models had some capabilities that surpass the Turing model. So I re-read Turing and found that he believed there would be an adaptive model that was stronger based on continuous calculations.”

Each step in Siegelmann’s model starts with a new Turing machine that computes once and then adapts. The size of the set of natural numbers is represented by the notation aleph-zero, 0, representing also the number of different infinite calculations possible by classical Turing machines in a real-world environment on continuously arriving inputs. By contrast, Siegelmann’s most recent analysis demonstrates that Super-Turing computation has 20, possible behaviors. “If the Turing machine had 300 behaviors, the Super-Turing would have 2300, more than the number of atoms in the observable universe,” she explains.

The new Super-Turing machine will not only be flexible and adaptable but economical. This means that when presented with a visual problem, for example, it will act more like our human brains and choose salient features in the environment on which to focus, rather than using its power to visually sample the entire scene as a camera does. This economy of effort, using only as much attention as needed, is another hallmark of high artificial intelligence, Siegelmann says.

“If a Turing machine is like a train on a fixed track, a Super-Turing machine is like an airplane. It can haul a heavy load, but also move in endless directions and vary its destination as needed. The Super-Turing framework allows a stimulus to actually change the computer at each computational step, behaving in a way much closer to that of the constantly adapting and evolving brain,” she adds.

Siegelmann and two colleagues recently were notified that they will receive a grant to make the first ever Super-Turing computer, based on Analog Recurrent Neural Networks. The device is expected to introduce a level of intelligence not seen before in artificial computation.