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Machine-Enhanced Anomalous Cognition
Abstract For at least 45 years researchers have studied the statistical properties of electronic true random number generators for signs of anomalous mental phenomena. Research published over this period shows no significant increase in Effect Size or degree of mental influence, expressed in terms of a derived Information Rate. Methods are presented for increasing the Information Rate by 1,000 to 10,000 times previous levels by using a type of bias “amplifier” with a statistical efficiency approaching 100%, bringing Machine-Enhanced Anomalous Cognition (Psycho-Responsive™ Technology) into the realm of practical applications.  Machine-Enhanced Anomalous Cognition
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Intelligence Gathering Using Enhanced Anomalous Cognition
Abstract The capability to gather and correctly interpret hidden information is a critical resource to gaining and maintaining an advantage in any highly competitive environment. Methods are described which employ trained operators utilizing objective electronic equipment to obtain information that is hidden or not inferable from known data. The equipment contains quantum mechanical elements, which respond directly to the operators’ visualized outcome, producing a type of machine-enhanced cognition. The cognition is anomalous because it is not limited by the classical constraints of sensing equipment or direct observation. KEYWORDS: Anomalous Cognition, Intelligence Gathering, Enhanced, Quantum Mechanics, Psycho-Responsive, Remote Viewing, Competitive. Intelligence Gathering Using Enhanced Anomalous Cognition
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US Patent Numbers 6,324,558, 6,763,364 and 7,096,242 (Under License)
Abstract An RNG circuit is connected to the parallel port of a computer. The circuit includes a flat source of white noise and a CMOS amplifier circuit compensated in the high frequency range. A low-frequency cut-off is selected to maintain high band-width yet eliminate the 1/f amplifier noise tail. A CMOS comparator with a 10 nanosecond rise time converts the analog signal to a binary one. A shift register converts the serial signal to a 4-bit parallel one at a sample rate selected at the knee of the serial dependence curve. Two levels of XOR defect correction produce a BRS at 20 kHZ, which is converted to a 4-bit parallel word, latched and buffered. The entire circuit is powered from the data pins of the parallel port. A device driver interface in the computer operates the RNG. The randomness defects with various levels of correction and sample rates are calculated and the RNG is optimized before manufacture. US Patent Number 6,324,558 US Patent Number 6,763,364 US Patent Number 7,096,242
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US Patent Number 6,862,605
Abstract A random number generator includes a first oscillator that provides a first oscillatory signal to a processor, and a second oscillator that provides a signal to a frequency multiplier, which in turn provides a second oscillatory signal to the processor. The relative jitter between the two oscillatory signals contains a calculable amount of entropy that is extracted by the processor to produce a sequence of true random numbers. US Patent Number 6,862,605
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WIPO Publication No. WO 2007/014031 A1
Abstract In the field of direct mind-machine interactions, prior art devices and methods do not provide sufficiently fast and reliable results. Mental influence detectors (100, 140, 400, 430) and corresponding methods provide fast and reliable results useful for detecting an influence of mind and hidden or classically non-inferable information. An anomalous effect detector (100) includes a source (104) of non-deterministic random numbers (110), a converter (114) to convert a property of numbers, a processor to accept converter output (118) and to produce an output signal (124) representative of an influence of mind. The processor output signal (124) contains fewer numbers than the input (110). A quantum computer (400) includes a physical source of entropy (404) to generate output numbers (405); a source (406) of test numbers (407); a measurement processor (410) to accept output numbers (405) and to measure a relationship between process numbers and at least one test number to produce an output (414) representative of an influence of mind. WIPO Publication No. WO 2007/014031 A1
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WIPO Publication No. WO 2008/066731 A2
Abstract An anomalous effect detector (100, 130, 300, 800, 830, 840, 900, 930) responsive to an influence of mind comprises a source of non-deterministic random numbers, SNDRN, (104, 134, 310), a phase-sensitive filter (108, 140, 170, 320), and a results interface (110, 160, 340). In some embodiments, the phase-sensitive filter comprises a complex filter (170). An artificial sensory neuron (802, 810, 820, 906) comprises a SNDRN. Preferably, several artificial sensory neurons (802, 906) are grouped in a small volume. An analog artificial sensory detector (800) comprises a plurality of analog artificial sensory neurons (802), an abstracting processor (804) and a control or feedback unit (806). Some embodiments include an artificial neural network (850). An artificial consciousness network (900) contains a plurality of artificial neural networks (902, 914). One of the artificial neural networks (914) comprises an activation pattern meta-analyzer. An artificial consciousness device comprises a cluster (936) of artificial consciousness networks, a sensory input device (932) to provide sensory input signals (933) to the input of one or more ANNs in ACD (930), and an output device (938). WIPO Publication No. WO 2008/066731 A2
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