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: desired (page 1 of 3)
Marco Torres, Prevent DiseaseHundreds of millions of people indulge in one of the most dangerous drugs which is sold right over the counter. When it comes to harm done to other people and the users themselves, not heroin, crack cocaine, methamphetamines, marijuana or even tobacco come close to the health and safety hazards caused by this one depressant.Drug harms fall into two broad categories: those that affect you, and those that affect others. The personal ones include death, heal [...]
Anna Hunt, Staff WriterOur sterile, pre-packaged, convenient foods, coupled with a diet high in antibiotic-filled, factory-farmed meats, have resulted in an increased need for probiotic-rich foods and supplements if we are to maintain a healthy gut flora. An ideal balance of good and bad bacteria in the digestive system means improved digestion and better body function in general.Probiotic supplements, such as the high-quality brands BioImmersion and Kla [...]
by G. William DomhoffNOTE: WhoRulesAmerica.net is largely based on my book,Who Rules America?, first published in 1967 and now in its7th edition. This on-line document is presented as a summary of some of the main ideas in that book.Who has predominant power in the United States? The short answer, from 1776 to the present, is: Those who have the money -- or more specifically, who own income-producing land and businesses -- have the power. George Washington was one of the biggest landowner [...]
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.
 |
| Researchers have achieved 32 different–shaped crystal structures using the DNA–brick self–assembly method. (Photo : Harvard’s Wyss Institute) |
Excerpt from
zmescience.com
A team at Harvard’s Wyss Institute for Biologically Inspired Engineering demonstrated the latest advances in programmable DNA self-assembly by crystallizing 32 structures with precisely prescribed depths and complex 3D features. The DNA crystals could potentially be used as the basis of a programmable material platform that would allow scientists to build extremely precise and complex structures rivaling the complexity of many molecular machines we see in nature – all from the bottom up!
Nanotechnology like Lego
With conventional methods of DNA assembly, the resulting design tends to become more and more imperfect as you scale the design because at each step there’s a risk of error. The technique developed at Harvard is different because since it uses short, synthetic strands of DNA that work like interlocking Lego® bricks to build complex structures – it’s a modular design. Each structure first starts off as a computer model of a molecular cube (the master canvas), then individual DNA bricks are removed or added independently until a desired shape is met. These bricks bind to as many as four neighboring strands or bricks. Thus, two bricks connect to one another at a 90-degree angle to form a 3D shape, just like a pair of two-stud Lego bricks. Each individual brick is coded in such a way that they self-assemble in a desired 3-D shape. What’s fantastic is that this method allows for intricate shapes to built on an extremely tiny scale opening up a slew of applications. For instance, a cube built up from 1,000 such bricks (10 by 10 by 10) measures just 25 nanometers in width – thousands of times smaller than the width of a human hair!
“Therein lies the key distinguishing feature of our design strategy—its modularity,” said co-lead author Yonggang Ke, Ph.D., formerly a Wyss Institute Postdoctoral Fellow and now an assistant professor at the Georgia Institute of Technology and Emory University. “The ability to simply add or remove pieces from the master canvas makes it easy to create virtually any design.”
Precision controlled DNA
Most importantly, this modularity allows precision control of the structure’s depth. This is the first time that anyone has been able to design crystal depth with nanometer precision, up to 80 nm, as opposed to two-dimensional DNA lattices which are typically single-layer structures with only 2 nm depth.“DNA crystals are attractive for nanotechnology applications because they are comprised of repeating structural units that provide an ideal template for scalable design features”, said co-lead author graduate student Luvena Ong.
“Peng’s team is using the DNA-brick self-assembly method to build the foundation for the new landscape of DNA nanotechnology at an impressive pace,” said Wyss Institute Founding Director Don Ingber, M.D., Ph.D. “What have been mere visions of how the DNA molecule could be used to advance everything from the semiconductor industry to biophysics are fast becoming realities.”
The intellect is a great tool, but it is, at the same time, just a tool. A person can use the intellect to evaluate information and decide that destruction of life is a reasonable action, if it contributes to a desired end goal. Intellect doesn’t need to have a heart. Therein is the big difference between intellect and intuition, or the heart. To proceed with vision is to use intuition.A few days ago we made it through the 13th anniversary of an intentional trauma perpetrated upon th [...]
{mainvote}
Trust in the Divine Timing
There is always more going on than most people are aware of therefore is sometimes necessary to trust in yourself and your plans and believe that a positive outcome is coming your way. Keep your thoughts positive and on your desired outcome. Remember that you receive what you are thinking about, so expect the best. If you are expecting the worst, that is what you will receive. If you find you are having a sleepless night, read your affirmations and envision the results you desire. Ask your angels to surround you in their beautiful energy, love and light and let that be the energy that empowers you to the results you seek.
As you grow and evolve, so too will your relationships that are growing and evolving, the rest will find their place when they are ready. Judge them not, for they too are trying to find their place, their footing and passion. Trust your intuition and listen to what your body, thoughts and feelings are telling you, and take care of yourself. Trust that you will see the truth in all matters and trust that you are receiving the guidance you seek. Your angels and guides communicate through your thoughts, intuition, and your dreams and trust that all things will lined up and be ready for that next step.
Affirmation: “I trust I will receive the guidance I seek; I trust that I will receive the ideas to inspire me to new heights, positive outcomes and new relationships that are based in higher dimensional love, wisdom and understanding.”
And so it is.
You are dearly loved and supported, always, the angels
Thank you, Mahalo, Merci, Gracias, Vielen Dank,Taka, Grazie, Спасибо,Toda, Obrigado, 谢谢, Dank, 謝謝, Chokran, Děkuji, Kiitos, Tack, Danke, ありがとう
Article Copyright ©2013 by Sharon Taphorn
All rights reserved.
www.playingwiththeuniverse.com
♥♥♥
This work is licensed under a Creative Commons Attribution 4.0
International License.
unless otherwise marked.
Terms of Use | Privacy Policy
— Up ↑ —
Comments