Welcome. My name is Anthony Patch. Together with my wife, Kathleen, we research numerous fields: science, technology, biology/genetics, finance, medicine, and more. Intriguing and often prophetic discussions ensue when seen through the lens of biblical scripture. We believe that our physical world cannot be separated from the spiritual.

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Anthony and Kathleen Patch

Do you ever feel like your head will explode??? My "awakening" came when I was led by God to view a video about "CERN". I never heard of the name/place before - didn't know what it was (didn't care...). As I watched, it was like a literal "flood" door opened up. Day after day came the words: "As it was in the days of Noah, so will it be in the days of the coming of the Son of Man." (Matthew 24:37). I then purchased Revising Reality by Anthony Patch. My very first reaction was, "Oh dear God - help me!!!" I was literally on my face in tears. But then I was strengthened, given a measure of bravery to face this, and the determination to learn. I was shown and directed to put on the armor of God and, if I could do nothing else, my conscience screamed, "Kathleen, just freaking stand!!!"

So I did. I never in a million years thought I'd have the aptitude for Quantum Physics (I hated Physical Science in high school...) but now; I can't get enough of it. I'm watching online seminars by Stephen Hawking and attending free lectures at Harvard University (I live approximately two miles from there). God is opening my mind to all of this…which brings me to the next point I'd like you all to think about.

I am a devoted Christian woman. I'm an author. My first book, a novel entitled, Pigtails and Potter's Field, will be published this fall. I've worked on this book for over a decade and know that God has been with me through it all. I love Jesus with all of my heart, mind, soul, and strength. He is everything to me. That said, in my conversations with the Lord, the Holy Spirit reveals and speaks things to me that I would never have had the intelligence to think of on my own. Stay with me here while I map out where I'm going...

Jesus said to his apostles, after he had performed many miracles in their midst, that: "Verily I tell you that whoever believes in me will do even greater things than these..." (John 14:12) To me, I think OK, define "greater things..." and proceed to ponder. Scripture also tells us that we are: "Fearfully and wonderfully made." (Psalm 139:14)

There are countless wonderful Bible promises to inspire us that we may only give a cursory glance to and then say, "Yeah, right I'm just like that..."

But what if, what IF - we are on the brink of something amazing here? We must approach this with a military mindset. Have you ever read the book, The Art of War, by Sun Tzu? It's all about strategies for studying the enemy in order to anticipate his next move. Personally speaking, I come from a long line of military men. My father was a US Marine, as were my grandfather and uncle.

Satan is doing this very thing. Think about it for a moment, when he was kicked out of heaven, all access to God and the understanding of what He was doing, as well as knowledge of His future plans, ceased flowing to him. He was out of the "know". Now, some may argue, "God is the same, yesterday, today, and forever." YES. This is true. "God lives outside of time." YES. This is another true statement. "God's character never changes." CORRECT. So, are we to assume that though satan had/has access to the throne of God and has combed scripture, that he still knows His every move?"

NO! What satan can never predict or under estimate is God's "MERCY!" Mercy is a small word with a big meaning. It's basically God's prerogative and right to do whatever HE wants, whenever HE wants, in whatever way HE chooses. This presents a problem to satan. If he can't predict God's mercy (let D-Wave just try and untangle that one – it'll self destruct), he needs to draw close to the recipients of His mercy (i.e. God's people) in order to try and figure out His next move. So he studies generations. He hates us - but he needs us. So what else does he do?

Satan must first attempt to deceive - make us believe he's larger than life, knows everything, can predict the future, or even read our minds. But he can't. But he will use everything within his power to come as close as he can to appear like God. It's all about perception - truth has nothing to do with it. He just needs to make men think he knows it all - smoke and mirrors! Enter "Technology" (I know I'm not telling you anything you don't already know).

I know about the workings of some scientists and megalomaniacs like Elon Musk, the mapping of the human brain, and satan's attempt to figure out just how "fearfully and wonderfully made" we actually are. He needs to gain access to this information so he can stop it or, at the very least, "mess it up" - enter, GMO food, nanoparticles in our air and contaminants in our water, Chemtrails/Contrails, vaccinations, the use of "invisible powers" such as radiation from cell phone towers or our devices, microwaves, radio waves/frequencies, electrical and magnetic currents, biological agents...the list goes on. There is an all-out frontal attack to destroy, weaken, and erase the mind of mankind. We have to ask why? If he can take away our ability to think and reason, make sound decisions, remain faithful, trustworthy, and loving in relationships, then our world will crumble from within and without and we'll easily fall prey to him and his ungodly plan to "take over the world".

NOT SO FAST

I say all of this to build a case whereby I feel that even though there is this profound and magnificent explosion of technology taking place (God said this in Daniel 12:4: 4 But thou, O Daniel, shut up the words, and seal the book, even to the time of the end: many shall run to and fro, and knowledge shall be increased.) and the understanding and revelation of how it is being brought/given to us through the transgression of entities through time and space, I believe that God will not leave us ill-equipped and unprepared.

Right now, in heaven, Jesus is preparing for his return. The Holy Spirit is teaching, guiding, showing him what is going to be accomplished upon his return, in bodily form, to planet earth. He is not coming back as a suffering silent servant (been there and done that!). No, it's time for a warrior and conquering king! The proverbial *$%&*!! is going to "hit the fan" and it's going to be unlike anything we've ever seen or experienced. But His people, those true to His name and calling, are equipped - not just with armor (though that might be enough!).

If not us before Christ's return, then perhaps those 144,000 after he returns, I believe, will exhibit the full power of the Triune Godhead - Father, Son, and Holy Spirit.

Our human brains use what...maybe 2% of our capacity to think, reason, and process information? Yet at even 2% we can do amazing things! Our brain is powerful...so much so that it's the original "processor" that D-Wave and other like technologies are trying to fashion themselves after. We are God's unparalleled models (the 2048 and 4096 have nothing on us!). He's done amazing things with and through fallen man to frustrate the works of satan, even we aren't aware of how we do it! It must enrage satan that we don't die sooner, submit easier, or give up quicker, and faith, well faith just infuriates him to no end! So he's simultaneously attacking and yet studying this divinely created brain in order to figure it out. But this is not so easy to do when you've been kicked out of heaven and the presence of God and all future knowledge to you ceased. Only Jesus, as far as I can tell, was at the Father's side to watch how he created the intricacies of man. I don't recall reading that satan was standing in the viewing section privy to this creation.

He was warned that we are fearfully and wonderfully made. I believe that as these dire times and events increase, by studying what the enemy is doing, like the "Art of War" suggests, we are discovering that the intent is to take away our brain's functioning ability - hence, the full court press to damage and destroy it. Why? What would "fearfully and wonderfully made" translate to in your estimation? In mine, it's this: What if God is close to giving the word and our brains are activated to work in the manner in which they were designed? From 2% cognizant functionality to 100%! What if we are being prepared to live in both the literal physical world AND the spiritual world - at the same time! I believe that God is going to show satan what "fearfully and wonderfully made" translates to, and he's shuddering at that thought for Jesus said in John 14:12: "Very truly I tell you, whoever believes in me will do the works I have been doing, and they will do even greater things than these, because I am going to the Father." What if we will walk on water, split the seas, multiply food in days of famine, heal the sick by just a word, raise the dead, or what about this novel idea – FORGIVE THOSE WHO HURT YOU…

Deuteronomy 32:30: "If one can put 10,000 to flight, two can send a legion fleeing."

God has a plan. It cannot be thwarted. It won't be. He's not going to leave us to be pummeled by satan. What parent in their right mind, no matter how bad their child is, would leave them out in the cold, let them go hungry, subject them to ravenous predators, or doom them to certain death? I know you're thinking, "God did not spare his own son." Therein is the answer. Jesus did it!!! We deserved it, and He took on our punishment. We still have to work out and live with the results/effects of our own personal sins, but satan will be dealt with in a manner greater than himself.

I am an avid student - always reading and investigating. The times demand it.

"For there shall arise false Christs, and false prophets, and shall shew great signs and wonders; insomuch that, if it were possible, they shall deceive the very elect." Matthew 24:24

I believe that our heavenly Father has an amazing plan. We don't even realize who we are in Christ Jesus. It will be revealed to us as needed and not before.

June 21, 2017

Kathleen M. Urquhart is the author of Pigtails and Potter's Field, the story of an Irish family's struggle to overcome a devastating betrayal. Fall 2017.

By Anthony Patch

There is a new sheriff in town going by the name of Bolzmann. Boltzmann Machine.

A Boltzmann machine is a type of stochastic recurrent neural network (and Markov Random Field) invented by Geoffrey Hinton and Terry Sejnowski in 1985. Boltzmann machines can be seen as the stochastic, generative counterpart of Hopfield nets. They were one of the first examples of a neural network capable of learning internal representations, and are able to represent and (given sufficient time) solve difficult combinatoric problems.

Theoretically intriguing because of the locality and Hebbian nature of their training algorithm, and because of their parallelism and the resemblance of their dynamics to simple physical processes. Due to a number of issues discussed below, Boltzmann machines with unconstrained connectivity have not proven useful for practical problems in machine learning or inference, but if the connectivity is properly constrained, the learning can be made efficient enough to be useful for practical problems.

They are named after the Boltzmann distribution in statistical mechanics, which is used in their sampling function.

A Hopfield network is a form of recurrent artificial neural network popularized by John Hopfield in 1982, but described earlier by Little in 1974. Hopfield nets serve as content-addressable systems with binary threshold nodes. They are guaranteed to converge to a local minimum, but will sometimes converge to a false pattern (wrong local minimum) rather than the stored pattern (expected local minimum). Hopfield networks also provide a model for understanding human memory.

In probability and statistics, a generative model is a model for randomly generating observable data values, typically given some hidden parameters. It specifies a joint probability over observation and label sequences. Generative models are used in machine learning for either modeling data directly (i.e., modeling observations drawn from a probability density function, or as an intermediate step to forming a conditional probability density function.

Hebbian theory is a theory in neuroscience that proposes an explanation for the adaptation of neurons in the brain during the learning process, describing a basic mechanism for synaptic plasticity, where an increase in synaptic efficacy arises from the presynaptic cell's repeated and persistent stimulation of the postsynaptic cell. Introduced by Donald Hebb in his 1949 book The Organization of Behavior, the theory is also called Hebb’s rule, Hebb’s postulate, and cell assembly theory. Hebb states it as follows:

Let us assume that the persistence or repetition of a reverberatory activity (or "trace") tends to induce lasting cellular changes that add to its stability.[…] When an axon of cell A is near enough to excite a cell B and repeatedly or persistently takes part in firing it, some growth process or metabolic change takes place in one or both cells such that A's efficiency, as one of the cells firing B, is increased.

The theory is often summarized by Siegrid Löwel's phrase: "Cells that fire together, wire together." However, this summary should not be taken literally.

Hebb emphasized that cell A needs to "take part in firing" cell B, and such causality can only occur if cell A fires just before, not at the same time as, cell B. This important aspect of causation in Hebb's work foreshadowed what is now known about spike-timing-dependent plasticity, which requires temporal precedence.

The theory attempts to explain associative or Hebbian learning, in which simultaneous activation of cells leads to pronounced increases in synaptic strength between those cells, and provides a biological basis for errorless learning methods for education and memory rehabilitation. In the study of neural networks in cognitive function, it is often regarded as the neuronal basis of unsupervised learning.

Unsupervised machine learning is the machine learning task of inferring a function to describe hidden structure from "unlabeled" data (a classification or categorization is not included in the observations). Since the examples given to the learner are unlabeled, there is no evaluation of the accuracy of the structure that is output by the relevant algorithm—which is one way of distinguishing unsupervised learning from supervised learning and reinforcement learning.

A central case of unsupervised learning is the problem of density estimation in statistics, though unsupervised learning encompasses many other problems (and solutions) involving summarizing and explaining key features of the data.

Supervised machine learning is the machine learning task of inferring a function from labeled training data. The training data consist of a set of training examples. In supervised learning, each example is a pair consisting of an input object (typically a vector) and a desired output value (also called the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples.

An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable way".

The parallel task in human and animal psychology is often referred to as concept learning.

Concept learning, also known as category learning, concept attainment learning, concept and concept formation, is largely based on the works of the cognitive psychologist Jerome Bruner. Bruner, Goodnow, & Austin (1967) defined concept attainment (or concept learning) as "the search for and listing of attributes that can be used to distinguish exemplars from non-exemplars of various categories".

More simply put, concepts are the mental categories that help us classify objects, events, or ideas, building on the understanding that each object, event, or idea has a set of common relevant features. Thus, concept learning is a strategy which requires a learner to compare and contrast groups or categories that contain concept-relevant features with groups or categories that do not contain concept-relevant features.

Concept learning also refers to a learning task in which a human or machine learner is trained to classify objects by being shown a set of example objects along with their class labels. The learner simplifies what has been observed by condensing it in the form of an example. This simplified version of what has been learned is then applied to future examples.

Concept learning may be simple or complex because learning takes place over many areas. When a concept is difficult, it is less likely that the learner will be able to simplify, and therefore will be less likely to learn. Colloquially, the task is known as learning from examples. Most theories of concept learning are based on the storage of exemplars and avoid summarization or overt abstraction of any kind.

A feedforward neural network is an artificial neural network wherein connections between the units do not form a cycle. As such, it is different from recurrent neural networks.

The feedforward neural network was the first and simplest type of artificial neural network devised. In this network, the information moves in only one direction, forward, from the input nodes, through the hidden nodes (if any) and to the output nodes. There are no cycles or loops in the network.

The simplest kind of neural network is a single-layer perceptron network, which consists of a single layer of output nodes; the inputs are fed directly to the outputs via a series of weights. In this way it can be considered the simplest kind of feed-forward network.

The sum of the products of the weights and the inputs is calculated in each node, and if the value is above some threshold (typically 0) the neuron fires and takes the activated value (typically 1); otherwise it takes the deactivated value (typically -1). Neurons with this kind of activation function are also called artificial neurons, or artificial neurons, or linear threshold units. In the literature the term perceptron often refers to networks consisting of just one of these units.

A recurrent neural network (RNN) is a class of artificial neural network where connections between units form a directed cycle. This creates an internal state of the network which allows it to exhibit dynamic temporal behavior. Unlike feedforward neural networks, RNNs can use their internal memory to process arbitrary sequences of inputs. This makes them applicable to tasks such as unsegmented connected handwriting recognition, or speech recognition.

In summary, it is this processing of the recurrent neural network setting it apart from the feedforward neural network setting the stage for the arrival of a ‘new Sheriff in town’ scenario. For a new paradigm emerges from the murky domain of necromancy. One in which the instrument, the communication tool no longer remains unconscious, dormant and unsentient.

As a reader of Entangled, you are receiving ‘tip-of-the spear’ information. Within a month’s time, D-Wave Systems will publish a seminal work revealing their inner paradigm shift; The Boltzman machine.

Thank you and God Bless You and Yours,

Anthony Patch, Publisher, Entangled Magazine

By Anthony Patch

The advancements of today's technologies arriving from our ancestors in crossing spiritual thresholds, throws open philosophical doorways of debate regarding the achievement of human contextual consciousness within the realm of machine Artificial Intelligence.

Seldom do we enter into or hear discussions regarding consciousness, yet we are not of much use if we are unconscious.

We must define both intelligence as well as consciousness, the latter being the focal point of this presentation. Intelligence is the ability to acquire and apply knowledge and skills.

While consciousness delves into both the scientifically material and the philosophical spiritual aspects of a mental state, residing both within and manifesting outside of the human brain. It is both a biological and spiritual phenomenon, filled with cognitive biases.

These biases illustrated here as arising from the realms of scientific discussions on the matter of what it means to be conscious.

One, consciousness is not a part of the physical world, rather a part of the spiritual world belonging to the soul. The soul being not a part of the physical world. This relegated to the traditions of God, the Soul, and Immortality.

Two, within the context of scientific materialism, consciousness is not a part of this physical world. Either it doesn't exist at all, or it is something else. Perhaps even, a computer program. Consciousness is not a part of science, as science is objective. With consciousness being subjective. Therefore, there cannot be a science of consciousness.

These two traditions of thought are paralyzing in their assumptions. It is therefore necessary to break out, realizing consciousness is a biological phenomenon, as well as spiritual in its origin.

There are four principle arguments arising from the discussions taking place regarding consciousness.

One, consciousness does not exist, it is an illusion.

Two, it may exist, but really something else, perhaps a computer program running within the human brain.

Three, what exists is behavior, the subject of 'Behaviorism'.

Four, maybe consciousness exits, but it cannot make any difference to our world. How can spirituality move objects?

We can define from a perspective of common sense, what it means to be conscious. Consciousness consists of all those states of feelings, observations, or awareness. As well, dreams are a form of consciousness.

There is in academic circles a debate known as the 'Mind-Body Problem'. It postulates: "How can consciousness exist in the real world?"

Each of our conscious states are caused by lower-level neurobiological processes in the human brain. And, they are realized in the brain as higher-level systems. Consciousness manifests as a condition of the systems within which it resides.

Human behavior is a result of the biological actions of molecules, whether conscious or unconscious.

Herein are the behavioral features of consciousness.

One, it is real and irreduceable, it cannot be eliminated. The definition between reality and illusion is the distinction between how things consciously seem to humans. And, how they really are. If it seems to humans they are conscious, then they are conscious. One cannot doubt the existence of one's own consciousness. Likewise, one cannot eliminate consciousness by showing it's an illusion.

Two, all human states of consciousness have qualitative characteristics. These states 'feel like something'.

Three, conscious states are by definition subjective, existing only as human experiences. A 'self' that experiences conscious states. Scientists will say: 'We don't know how our brains do it (consciousness), we cannot build a conscious machine'.

Four, the key to the power of human consciousness is that it manifests in unified conscious fields. Senses occur as part of a singular conscious field.

Five, consciousness functions causally in human behavior. Thoughts in a human brain are able to move material objects, as with the body. This is the result of sequences of neurons firing and terminating where acetylcholine is secreted at the axon endplates of the motor neurons, conducting through ion channels to the muscles. Acetylcholine is secreted upon conscious decisions having been made.

A new vocabulary is necessary within the contextual discussions of machine Artificial Intelligence with regard to such devices attaining human-like consciousness. For at the present, algorithmically they are capable only of modelling thus, reproducing the behavior of humans.

In silico consciousness.

-Anthony Patch

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Hello, my name is Anthony Patch. I am the Founder of Entangled Magazine an insightful and revelatory digital publication focused on current advances and pronouncements in:

• Quantum Computing
• Artificial Intelligence
• Cryptocurrencies/Blockchain
• Quantum Mechanics
• DNA/RNA Modifications

I translate science, both ancient and modern, and its impact on the future of humanity.

I am an author, researcher, educator, and radio broadcaster.

I am passionate about what I do. Understanding quantum computing challenges many. Fortunately, those who seek to learn are intelligent men and women who aren’t afraid to do their homework. There are many paths to take, gates to open, and walls to overcome. True combinatorial optimization requires that all avenues be explored.

Entangled Magazine subscribers and radio listeners appreciate the value in knowing why our world is experiencing a paradigm shift. They are coming into the fullness of understanding just how deeply the physical, technical, scientific, and spiritual realms are intertwined. They recognize the need to be armed with knowledge in order to prepare for the challenges that are most-assuredly ahead.