Tag: outcomes (page 1 of 3)

El Consejo de Libertad o Control – 24 de noviembre de 2017 – 4K

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The Council – Freedom or Control – November-24-2017 – 4K

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Sheldan Nidle – April-25-2017

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Pleiadian High Council of Seven – You Have No Obligations – September-16-2016

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Infants Deeply Traumatized By Common Medical Procedures

Just Up Ahead...and Right on Schedule -- Sirian High Council -- Patricia Cori

Sayer Ji, Green Med InfoA concerning new study suggests that decades of medical procedures performed on infants without pain management has had deeply traumatizing effects.A groundbreaking study published in eLife titled, “fMRI reveals neural activity overlap between adult and infant pain,” demonstrates that the infant pain experience, despite long held assumptions to the contrary, closely resembles that of adults.Researchers discovered that when  [...]

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Creation Energies: You’re Redoing Your Fears With New Outcomes – November 16, 2015

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Most Western Scientific Medical Research is Fraudulent

Makia Freeman, ContributorInsiders & experts say that most medical reasearch is a fraud.Fraudulent scientific research is rife throughout the world due to the power of monetary influence wielded by Big Pharma, the giant cartel of multinational pharmaceutical corporations started over 100 years ago by the Rockefellers. This fraudulent scientific research is now so widespread and pervasive it is become an open secret. There is a long list of medical journal edit [...]

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Journal Verifies That the Vaccinated Are Transmitting Disease

Dave Mihalovic, Prevent DiseaseOfficials at the U.S. Centers for Disease Control and Prevention (CDC) say the best way to prevent pertussis is to get vaccinated. However, more data continues to present itself suggesting that may be completely false. A new study published in BMC Medicine by Santa Fe Institute Omidyar Fellows Ben Althouse and Sam Scarpino points to a different, but related, source of the outbreak — vaccinated people who are infectious but who do not dis [...]

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Leading Journals Agree That Big Pharma Manipulates Medical Research

Alex Pietrowski, Staff WriterCorruption in the medical industry can no longer be ignored. There’s no doubt that much of what is told to the masses, including medical schools and physicians, is simply untrue. Even Dr. Richard Horton, editor of the world’s most respected medical journal, The Lancet, agrees:“Much of the scientific literature, perhaps half, may simply be untrue. Afflicted by studies with small sample sizes, tiny effects, invalid exploratory analyses, an [...]

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Flawed Medical Research May Be Ruining Your Health & Your Life

Robert Oliva, Collective-EvolutionThere is a cancer eating at the core of medical research.You’ve most likely heard of medical reports touting the effectiveness of a diet plan, a new drug, a supplement, or medical procedure. You may have even decided on a course of action based on these findings, only to find out later that they have been refuted by new studies.Strikingly, the odds are that the studies that influenced your decision, and possibly the decision of your doctor, wer [...]

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Nuclear Experimentation Year 70 – Playing With Madness

Ethan Indigo Smith, ContributorThe recent “news” on the nuclear situation in Iran brings to light the madhouse of cards on which the postmodern world is built. Or rather, it would bring the madness to light if the major media outlets of the world were not bought up and sold out to the military industrial complex, and therefore completely misinformed on the actions and dangers of the nuclear experimentation industry.The story is not just about [...]

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Does Death Exist? New Theory Says ‘No’





Excerpt from robertlanza.com

Many of us fear death. We believe in death because we have been told we will die. We associate ourselves with the body, and we know that bodies die. But a new scientific theory suggests that death is not the terminal event we think.
One well-known aspect of quantum physics is that certain observations cannot be predicted absolutely. Instead, there is a range of possible observations each with a different probability. One mainstream explanation, the “many-worlds” interpretation, states that each of these possible observations corresponds to a different universe (the ‘multiverse’). A new scientific theory – called biocentrism – refines these ideas. There are an infinite number of universes, and everything that could possibly happen occurs in some universe. Death does not exist in any real sense in these scenarios. All possible universes exist simultaneously, regardless of what happens in any of them. Although individual bodies are destined to self-destruct, the alive feeling – the ‘Who am I?’- is just a 20-watt fountain of energy operating in the brain. But this energy doesn’t go away at death. One of the surest axioms of science is that energy never dies; it can neither be created nor destroyed. But does this energy transcend from one world to the other?
Consider an experiment that was recently published in the journal Science showing that scientists could retroactively change something that had happened in the past. Particles had to decide how to behave when they hit a beam splitter. Later on, the experimenter could turn a second switch on or off. It turns out that what the observer decided at that point, determined what the particle did in the past. Regardless of the choice you, the observer, make, it is you who will experience the outcomes that will result. The linkages between these various histories and universes transcend our ordinary classical ideas of space and time. Think of the 20-watts of energy as simply holo-projecting either this or that result onto a screen. Whether you turn the second beam splitter on or off, it’s still the same battery or agent responsible for the projection.
According to Biocentrism, space and time are not the hard objects we think. Wave your hand through the air – if you take everything away, what’s left? Nothing. The same thing applies for time. You can’t see anything through the bone that surrounds your brain. Everything you see and experience right now is a whirl of information occurring in your mind. Space and time are simply the tools for putting everything together.
Death does not exist in a timeless, spaceless world. In the end, even Einstein admitted, “Now Besso” (an old friend) “has departed from this strange world a little ahead of me. That means nothing. People like us…know that the distinction between past, present, and future is only a stubbornly persistent illusion.” Immortality doesn’t mean a perpetual existence in time without end, but rather resides outside of time altogether.
This was clear with the death of my sister Christine. After viewing her body at the hospital, I went out to speak with family members. Christine’s husband – Ed – started to sob uncontrollably. For a few moments I felt like I was transcending the provincialism of time. I thought about the 20-watts of energy, and about experiments that show a single particle can pass through two holes at the same time. I could not dismiss the conclusion: Christine was both alive and dead, outside of time.
Christine had had a hard life. She had finally found a man that she loved very much. My younger sister couldn’t make it to her wedding because she had a card game that had been scheduled for several weeks. My mother also couldn’t make the wedding due to an important engagement she had at the Elks Club. The wedding was one of the most important days in Christine’s life. Since no one else from our side of the family showed, Christine asked me to walk her down the aisle to give her away.
Soon after the wedding, Christine and Ed were driving to the dream house they had just bought when their car hit a patch of black ice. She was thrown from the car and landed in a banking of snow.
“Ed,” she said “I can’t feel my leg.”
She never knew that her liver had been ripped in half and blood was rushing into her peritoneum.
After the death of his son, Emerson wrote “Our life is not so much threatened as our perception. I grieve that grief can teach me nothing, nor carry me one step into real nature.”
Whether it’s flipping the switch for the Science experiment, or turning the driving wheel ever so slightly this way or that way on black-ice, it’s the 20-watts of energy that will experience the result. In some cases the car will swerve off the road, but in other cases the car will continue on its way to my sister’s dream house.
Christine had recently lost 100 pounds, and Ed had bought her a surprise pair of diamond earrings. It’s going to be hard to wait, but I know Christine is going to look fabulous in them the next time I see her.

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Is playing ‘Space Invaders’ a milestone in artificial intelligence?





Excerpt from latimes.com

Computers have beaten humans at chess and "Jeopardy!," and now they can master old Atari games such as "Space Invaders" or "Breakout" without knowing anything about their rules or strategies.

Playing Atari 2600 games from the 1980s may seem a bit "Back to the Future," but researchers with Google's DeepMind project say they have taken a small but crucial step toward a general learning machine that can mimic the way human brains learn from new experience.

Unlike the Watson and Deep Blue computers that beat "Jeopardy!" and chess champions with intensive programming specific to those games, the Deep-Q Network built its winning strategies from keystrokes up, through trial and error and constant reprocessing of feedback to find winning strategies.

Image result for space invaders

“The ultimate goal is to build smart, general-purpose [learning] machines. We’re many decades off from doing that," said artificial intelligence researcher Demis Hassabis, coauthor of the study published online Wednesday in the journal Nature. "But I do think this is the first significant rung of the ladder that we’re on." 
The Deep-Q Network computer, developed by the London-based Google DeepMind, played 49 old-school Atari games, scoring "at or better than human level," on 29 of them, according to the study.
The algorithm approach, based loosely on the architecture of human neural networks, could eventually be applied to any complex and multidimensional task requiring a series of decisions, according to the researchers. 

The algorithms employed in this type of machine learning depart strongly from approaches that rely on a computer's ability to weigh stunning amounts of inputs and outcomes and choose programmed models to "explain" the data. Those approaches, known as supervised learning, required artful tailoring of algorithms around specific problems, such as a chess game.

The computer instead relies on random exploration of keystrokes bolstered by human-like reinforcement learning, where a reward essentially takes the place of such supervision.
“In supervised learning, there’s a teacher that says what the right answer was," said study coauthor David Silver. "In reinforcement learning, there is no teacher. No one says what the right action was, and the system needs to discover by trial and error what the correct action or sequence of actions was that led to the best possible desired outcome.”

The computer "learned" over the course of several weeks of training, in hundreds of trials, based only on the video pixels of the game -- the equivalent of a human looking at screens and manipulating a cursor without reading any instructions, according to the study.

Over the course of that training, the computer built up progressively more abstract representations of the data in ways similar to human neural networks, according to the study.
There was nothing about the learning algorithms, however, that was specific to Atari, or to video games for that matter, the researchers said.
The computer eventually figured out such insider gaming strategies as carving a tunnel through the bricks in "Breakout" to reach the back of the wall. And it found a few tricks that were unknown to the programmers, such as keeping a submarine hovering just below the surface of the ocean in "Seaquest."

The computer's limits, however, became evident in the games at which it failed, sometimes spectacularly. It was miserable at "Montezuma's Revenge," and performed nearly as poorly at "Ms. Pac-Man." That's because those games also require more sophisticated exploration, planning and complex route-finding, said coauthor Volodymyr Mnih.

And though the computer may be able to match the video-gaming proficiency of a 1980s teenager, its overall "intelligence" hardly reaches that of a pre-verbal toddler. It cannot build conceptual or abstract knowledge, doesn't find novel solutions and can get stuck trying to exploit its accumulated knowledge rather than abandoning it and resort to random exploration, as humans do. 

“It’s mastering and understanding the construction of these games, but we wouldn’t say yet that it’s building conceptual knowledge, or abstract knowledge," said Hassabis.

The researchers chose the Atari 2600 platform in part because it offered an engineering sweet spot -- not too easy and not too hard. They plan to move into the 1990s, toward 3-D games involving complex environments, such as the "Grand Theft Auto" franchise. That milestone could come within five years, said Hassabis.

“With a few tweaks, it should be able to drive a real car,” Hassabis said.

DeepMind was formed in 2010 by Hassabis, Shane Legg and Mustafa Suleyman, and received funding from Tesla Motors' Elon Musk and Facebook investor Peter Thiel, among others. It was purchased by Google last year, for a reported $650 million. 

Hassabis, a chess prodigy and game designer, met Legg, an algorithm specialist, while studying at the Gatsby Computational Neuroscience Unit at University College, London. Suleyman, an entrepreneur who dropped out of Oxford University, is a partner in Reos, a conflict-resolution consulting group.

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