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Targeted Individuals and the creation of a Soul in a D-Wave Quantum Computer

Imagine an organism designed and replicated by software.  Synthetic life?  Has it been successfully performed?  The synthetic aspects, yes.  Life?  This is open to interpretation.

Today, we have a replacement for the gate model computer, even in its quantum configuration.  The adiabatic quantum computer, utilizing qubits rather than transistors.  These operate in a super-conductive state, without the transfer of heat or matter to its surrounding environment while performing quantum annealing.  The latest model, the 2048, possesses the equivalent processing power of 7 billion human brains.  It is for example, able to process a combinatorial problem in 10 seconds, while the fastest gate model supercomputer requires 30 minutes to solve the same equation.  This is accomplished through the employment of supersymmetry, superposition and quantum entanglement.

Published Online May 20 2010
Science 2 July 2010:
Vol. 329 no. 5987 pp. 52-56
DOI: 10.1126/science.1190719

Chemical engineers at UCLA have been demonstrating what they argue is scientific evidence that bunches of synthetically grown nanowires exhibit behaviors similar to that of memory in a living brain. Whether you believe their claim depends on what you think memory actually is.

The Brain-Computer Interfaces (BCI) are systems that acquire and analyze brain signals (typically of electromagnetic nature) to create high-bandwidth communication channels in real time between the human brain and a computer (for an overview, see: e.g., Dornhege et al., 2007). Most often BCI are designed to capture subject’s intentions in order to drive suitable actuators, performing the actions wanted by the subject himself. However, even if BCI seem to open the way for a deep merging between human minds and computers, their actual implementations still appear as unsatisfying and very far from reaching the goal of a complete integration between human beings and artificial devices. [1]

Abstract—Brain-Computer Interface (BCI) systems establish a direct communication channel from the brain to an output device. These systems use brain signals recorded from the scalp, the surface of the cortex, or from inside the brain to enable users to control a variety of applications. BCI systems that bypass conventional motor output pathways of nerves and muscles can provide novel control options for paralyzed patients. One classical approach to establish EEG-based control is to set up a system that is controlled by a specific EEG feature which is known to be susceptible to conditioning and to let the subjects learn the voluntary control of that feature. In contrast, the Berlin Brain-Computer Interface (BBCI) uses well established motor competences of its users and a machine learning approach to extract subject-specific patterns from high-dimensional features optimized for detecting the user’s intent. Thus the long subject training is replaced by a short calibration measurement (20 minutes) and machine learning (1 minute). We report results from a study in which ten subjects, who had no or little experience with BCI feedback, controlled computer applications by voluntary imagination of limb movements: these intentions led to modulations of spontaneous brain activity specifically, somatotopically matched sensorimotor 7-30 Hz rhythms were diminished over pericentral cortices. The peak information transfer rate was above 35 bits per minute (bpm) for 3 subjects, above 23 bpm for two, and above 12 bpm for 3 subjects, while one subject could achieve no BCI control. Compared to other BCI systems which need longer subject training to achieve comparable results we propose that the key to quick efficiency in the BBCI system is its flexibility due to complex but physiologically meaningful features and its adaptivity which respects the enormous intersubject variability. [2]

Increasingly more alternative applications in healthy human subjects are proposed and investigated. In particular, monitoring of mental states and decoding of covert user states have seen a strong rise of interest. Here, we present some examples of such novel applications which provide evidence for the promising potential of BCI technology for non-medical uses. Furthermore, we discuss distinct methodological improvements required to bring non-medical applications of BCI technology to a diversity of layperson target groups, e.g., ease of use, minimal training, general usability, short control latencies.

“The most exciting of all of these is because we can go from ones and zeros in the computer and make DNA molecules that we can read the sequence of DNA molecules and health of going to the computer we can obviously interchange through the digital world this biological information. That means we can actually now send biology through the internet.”

Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome

In 1977, Sanger and colleagues determined the complete genetic sequence of phage ϕX174 (1), the first DNA genome to be completely sequenced. Eighteen years later, in 1995, our team was able to read the first complete genetic sequence of a self-replicating bacterium, Haemophilus influenzae (2). Reading the genetic sequence of a wide range of species has increased exponentially from these early studies. The ability to rapidly digitize genomic information has increased by more than eight orders of magnitude over the past 25 years (3). Efforts to understand all this new genomic information have spawned numerous new computational and experimental paradigms, yet our genomic knowledge remains very limited. No single cellular system has all of its genes understood in terms of their biological roles. Even in simple bacterial cells, do the chromosomes contain the entire genetic repertoire? If so, can a complete genetic system be reproduced by chemical synthesis starting with only the digitized DNA sequence contained in a computer?

Our interest in synthesis of large DNA molecules and chromosomes grew out of our efforts over the past 15 years to build a minimal cell that contains only essential genes. This work was inaugurated in 1995 when we sequenced the genome of Mycoplasma genitalium, a bacterium with the smallest complement of genes of any known organism capable of independent growth in the laboratory. More than 100 of the 485 protein-coding genes of M. genitalium are dispensable when disrupted one at a time (46).

We developed a strategy for assembling viral-sized pieces to produce large DNA molecules that enabled us to assemble a synthetic M. genitalium genome in four stages from chemically synthesized DNA cassettes averaging about 6 kb in size. This was accomplished through a combination of in vitro enzymatic methods and in vivo recombination in Saccharomyces cerevisiae. The whole synthetic genome [582,970 base pairs (bp)] was stably grown as a yeast centromeric plasmid (YCp) (7).

Several hurdles were overcome in transplanting and expressing a chemically synthesized chromosome in a recipient cell. We needed to improve methods for extracting intact chromosomes from yeast. We also needed to learn how to transplant these genomes into a recipient bacterial cell to establish a cell controlled only by a synthetic genome. Because M. genitalium has an extremely slow growth rate, we turned to two faster-growing mycoplasma species, M. mycoides subspecies capri (GM12) as donor, and M. capricolum subspecies capricolum (CK) as recipient.

To establish conditions and procedures for transplanting the synthetic genome out of yeast, we developed methods for cloning entire bacterial chromosomes as centromeric plasmids in yeast, including a native M. mycoides genome (89). However, initial attempts to extract the M. mycoides genome from yeast and transplant it into M. capricolum failed. We discovered that the donor and recipient mycoplasmas share a common restriction system. The donor genome was methylated in the native M. mycoides cells and was therefore protected against restriction during the transplantation from a native donor cell (10). However, the bacterial genomes grown in yeast are unmethylated and so are not protected from the single restriction system of the recipient cell. We overcame this restriction barrier by methylating the donor DNA with purified methylases or crude M. mycoides or M. capricolum extracts, or by simply disrupting the recipient cell’s restriction system (8).

We now have combined all of our previously established procedures and report the synthesis, assembly, cloning, and successful transplantation of the 1.08-Mbp M. mycoides JCVI-syn1.0 genome, to create a new cell controlled by this synthetic genome.
Science 02 Jul 2010:
Vol. 329, Issue 5987, pp. 52-56
DOI: 10.1126/science.1190719

Implants and mind control technology are not simply the creation of paranoid conspiracy theorists, nor are they the stuff of science fiction based on imagination. In fact, what is science fiction? It’s the future foretold. Is there anything really fiction about most of the fiction we’re seeing today? Truth is often masked under the term fiction so that you won’t think it’s real when often it indeed is. Implants and mind control technology are real: an established, certifiable fact that the media won’t tell you about. The technology exists, the hardware is in place, the patents are on record and the agencies to run and control it are in and have been in place.

Often those who have been implanted with chips or under RMN (remote neural monitoring) attack suffer from symptoms such as depression, befuddled thinking, loss of memory, stress, not being able to cope, manic behaviour, schizophrenia, nervous breakdowns, physical collapse, brain and nervous system damage, heart attacks, cancer, dizziness, chest pains, dehydration, headaches, and migraines. Most attacks occur either when you’re sitting in front of the computer or when you’re in bed. And this doesn’t preclude the daily bombardment you’re getting from the Gwen and ELF control towers that condition our subconscious minds daily with subliminal messaging.

There’s even more to this hideous agenda for the NWO, population control and harassment programs; It should be noted that this ELF technology falls into two distinct categories; the first type requires an implanted technology into a subject to be effective. Implantable chips were introduced and now some 50 years later we’re just hearing about it like it’s something ‘new.’ In contrast the second type of technology, Remote Neural Monitoring (RNM) doesn’t require any kind of physical contact device like chips because it acts directly on a targeted individual or group by matching a frequency spectrum that can be isolated and manipulated remotely. 

3d rendering of human brain neural interface with technology representing RMN (remote neural monitoring) artificial intelligence linking the Internet of Things concept

With today’s technology they can not only target a license plate in your driveway or read the time off your watch from a satellite in space, today’s scientists are creating synthetic organisms which possess the equivalent processing power of every human being alive to copy DNA and transmit it through the internet; — don’t you think they can zero in on you anytime they want to as well? Maybe they already have?



Further Research



U.S. Patent US5629678 – IMPLANTABLE TRANSECEIVER – Apparatus for Tracking and Recovering Humans.




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One Comment:

  1. Like!! Great article post.Really thank you! Really Cool.

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