After the plandemic plan did not have the desired effect, the Dark Forces have stepped up their efforts to increase End Time madness.The Jesuits, Knights of Malta and Knights of Columbus are now polarizing political left and political right in the Uni...
Tag: programming (page 1 of 3)
Age of Aquarius meditation was very successful and we have reached the critical mass, albeit barely. Around 150,000 people were actively participating:https://www.youtube.com/watch?v=33Yb3_60gwE&feature=youtu.beThis was just enough to push us over ...
A U.S.cyberspace operations center It should be apparent to all by now that agencies within the U.S. Department of Defense and also within the U.S. intelligence community are actively engaged in programs that utilize the synthetic telepathy technolo...
by Heather Callaghan,Have you ever overheard an intense or heart-wrenching discussion only to find out the talkers were actually hashing out the lives of fictional TV characters? Do you ever wonder why people are so easily beguiled into trusting the talking heads?It might not be such a mystery when you find out how easy it is for TV programming– the waves it emits, the storytelling – to override basic brain function and even damage your body.Reported earlier by [...]
Vic Bishop, Staff WriterResearch into the structure and function of the human brain continues to accelerate. Collaborations, such as the Human Brain Project in Europe and the BRAIN initiative in the United States, are exploring making great advances in understanding the brain’s circuitry and computing principles.The supposed goals of these research initiatives are to understand the cause of and to improve treatment of brain disorders, to create neu [...]
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.
“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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University of Maryland computer scientist Yiannis Aloimonos (center) is developing robotic systems able to visually recognize objects and generate new behavior based on those observations. DARPA is funding this research through its Mathematics of Sensing, Exploitation and Execution (MSEE) program. (University of Maryland Photo) |
From darpa.mil
January 29, 2015
DARPA program advances robots’ ability to sense visual information and turn it into action
“The MSEE program initially focused on sensing, which involves perception and understanding of what’s happening in a visual scene, not simply recognizing and identifying objects,” said Reza Ghanadan, program manager in DARPA’s Defense Sciences Offices. “We’ve now taken the next step to execution, where a robot processes visual cues through a manipulation action-grammar module and translates them into actions.”
Another significant advance to come out of the research is the robots’ ability to accumulate and share knowledge with others. Current sensor systems typically view the world anew in each moment, without the ability to apply prior knowledge.
“This system allows robots to continuously build on previous learning—such as types of objects and grasps associated with them—which could have a huge impact on teaching and training,” Ghanadan said. “Instead of the long and expensive process of programming code to teach robots to do tasks, this research opens the potential for robots to learn much faster, at much lower cost and, to the extent they are authorized to do so, share that knowledge with other robots. This learning-based approach is a significant step towards developing technologies that could have benefits in areas such as military repair and logistics.”
The DARPA-funded researchers presented their work today at the 29th meeting of the Association for the Advancement of Artificial Intelligence. The University of Maryland paper is available here: http://ow.ly/I30im
Renowned quantum physicist, John Hagelin (PhD, Harvard), presents the thesis that consciousness is a unified field that contains nature's programming code and transcending through meditation is a pathway to hack / access consciousness.Click to zoom
Gregg Prescott, M.S., In5D GuestWhat if EVERYONE was wealthy beyond their wildest dreams and how would that affect our perceived “freedom”?I often use an analogy of freedom as a man walking his dog. The man is the government, you are the dog and the leash is your freedom.And this isn’t even “freedom”. These are “civil liberties”.In an ideal world, there would only be two rules or laws:1. Love everyone. 2. Respect everything.What we are g [...]
As the planet continues to raise her vibration toward a fifth dimensional frequency, the ability to manifest is becoming easier and faster. Ultimately those who are awakened to the possibility of a New Earth are working toward manifesting this into reality and need to know the missing piece of manifestation in order to be successful co-creators. The trinity of manifestation Manifestation involves using heartfelt intention, the Law of Attraction, and the Universal Law of Detachment. T [...]
What we participate in is pretty much the name of the game. What do we spend our time, energy and intention on? What are we consciously and/or subconsciously empowering that’s leading to our own dis-empowerment? Where attention and thus intention goes, energy flows. Where is ours going, collectively and individually? Something to seriously consider on a continual basis in this massively manipulated energetic world.I’ve been blown away recently by the rapid rise in consciousness [...]
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