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Category: mathematics – Page 152

In Brief:

Researchers found a new “supercomputer” using nanotechnology. These biocomputers can solve mathematical problems faster, and they are more energy efficient.

Researchers from Lund University in Sweden have created a biological computer using nanotechnology. This, in itself, is not so remarkable, but it can solve mathematical problems much faster than conventional computers. The team was also able to prove that biological computers using molecular motors are more energy efficient.

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Nice write up and anyone working or researching central nervous system should not find this research and findings shocking.

Re: Scam hunter’s question; “Can you explain what a scalar torsion field model is?”

The History of Scalar Energy

The discovery of Scalar Energy can be attributed to James Clark Maxwell, a Scotsman who was born in the 19th century. Maxwell was a mathematical genius whose work led to the development of quantum physics. Albert Einstein worked on Maxwell’s findings and discovered “The Theory of Relativity”.

Continue reading “Tesla and Scalar Energy Explained” | >

Quantum Cognition — recently published as a new field term for cognitive thinking.

Quantum cognition is an emerging field which applies the mathematical formalism of quantum theory to model cognitive phenomena such as information processing by the human brain, language, decision making, human memory, concepts and conceptual reasoning, human judgment, and perception. [1][2][3][4] The field clearly distinguishes itself from the quantum mind as it is not reliant on the hypothesis that there is something micro-physical quantum mechanical about the brain. Quantum cognition is based on the quantum-like paradigm[5][6] or generalized quantum paradigm [7] or quantum structure paradigm [8] that information processing by complex systems such as the brain, taking into account contextual dependence of information and probabilistic reasoning, can be mathematically described in the framework of quantum information and quantum probability theory.

Quantum cognition uses the mathematical formalism of quantum theory to inspire and formalize models of cognition that aim to be an advance over models based on traditional classical probability theory. The field focuses on modeling phenomena in cognitive science that have resisted traditional techniques or where traditional models seem to have reached a barrier (e.g., human memory [9]), and modeling preferences in decision theory that seem paradoxical from a traditional rational point of view (e.g., preference reversals [10]). Since the use of a quantum-theoretic framework is for modeling purposes, the identification of quantum structures in cognitive phenomena does not presuppose the existence of microscopic quantum processes in the human brain.

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Agree; math is a must. However, experimentation is when the rubber meets the road.

In the mid-1990s, I studied mathematics. I wasn’t really sure just what I wanted to do with my life, but I was awed by the power of mathematics to describe the natural world. After classes on differential geometry and Lie algebras, I attended a seminar series offered by the math department about the greatest problem in fundamental physics: how to quantize gravity and thereby bring all the forces of nature under one theoretical umbrella. The seminars focused on a new approach pioneered by Abhay Ashtekhar at Penn State University. It wasn’t research I had previously encountered, and I came away with the impression that the problem had been solved; the news just hadn’t yet spread.

It seemed a clear victory for pure thought. The requirement of mathematical consistency also led, for example, to the discovery of the Higgs boson. Without the Higgs, the Standard Model of particle physics would stop working for particles that are collided at energies above 1 teraelectron-volts, well within the range of the Large Hadron Collider. Probabilities would no longer add to 100 percent and would cease to make mathematical sense. Something new thus had to turn up once that energy was crossed. The Higgs was the simplest possibility that physicists could think of—and, sure enough, they found it.

In the ’20s and ’30s, the mathematical inconsistency between Einstein’s special theory of relativity and the original version of quantum mechanics gave rise to quantum field theory, on which the Standard Model was later based. The mathematical inconsistency between special relativity and Newtonian gravity gave rise to the general theory of relativity, our state-of-the-art theory of gravity. Now physicists are left with the inconsistency between the Standard Model and general relativity. Of course we expect its resolution, in the form of a quantum theory of gravity, to be as revelatory as the earlier cases.

Continue reading “What Quantum Gravity Needs Is More Experiments” | >

The researchers from the University of Southampton, working with colleagues in Canada and Italy, claim there is as much evidence for this theory as for traditional explanations for these irregularities.

A holographic universe, an idea first suggested in the 1990s, is one where all the information, which makes up our 3D ‘reality’is contained in a 2D surface on its boundaries.

Until now the bizarre theory had rarely been tested, but recent mathematical models suggest that the mind-boggling principle could be true.

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A discussion about Simulation theory, quantum mechanics and Super Mario!

Futurists Keith Comito, Gray Scott, Luis Arana, and Zach Waldman talk about the simulation theory as part of the #FuturistSessions at the Soho House New York. Discussions include quantum mechanics, mathematical realism vs mathematical fictionalism, the Matrix, Pacman, and Mario!

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Continue reading “The Futurist Sessions: Simulation Theory — ft. Keith Comito, Gray Scott, Luis Arana, and Zac Waldman” | >

In Brief Science fiction often serves as a curiosity catalyst for a lot of technological innovation. One such example is this Alcubierre Warp Drive, that would absolutely revolutionize the capability of humans to traverse the stars.

It’s always a welcome thing to learn that ideas that are commonplace in science fiction have a basis in science fact. Cryogenic freezers, laser guns, robots, silicate implants… and let’s not forget the warp drive! Believe it or not, this concept – alternately known as FTL (Faster-Than-Light) travel, Hyperspace, Lightspeed, etc. – actually has one foot in the world of real science.

In physics, it is what is known as the Alcubierre Warp Drive. On paper, it is a highly speculative, but possibly valid, solution of the Einstein field equations, specifically how space, time and energy interact. In this particular mathematical model of spacetime, there are features that are apparently reminiscent of the fictional “warp drive” or “hyperspace” from notable science fiction franchises, hence the association.

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In Brief

  • By mimicking the way neurons fire in the hippocampus during natural memory creation, a brain implant was used to successfully plant memories in the brains of rats.
  • Though human implementation is far off, this breakthrough in cracking the hippocampus’ mathematical “memory code” has very important implications for health and research.

Memories are the faintest, most ethereal wisps of our neurophysiology — somehow, the firing of delicate synapses and the activation of neurons combine to produce the things we remember. The sum of our memories make us who we are; they are us, in every way, and without them we cease to be.

So it’s needless to say that there’s a pretty significant premium on discovering new ways to combat memory loss. Most of these involve physiological and biological methods, but some scientists, such as Theodore Berger of the University of Southern California, are beginning to turn toward technology. If any of these methods are successful, it would mean the possibility of perfect lifelong memory recall.

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What’s the future of education? How will students learn differently? What will the schools of the future look like? We asked TED-Ed Innovative Educators to share their ideas. Their answers are provocative, contradictory — and make for great conversation starters. Welcome to the “Choose Your Own Adventure” future of learning.

There will be more creativity in education. “Because that’s what careers will require. Education will be not just taking in information and sharing it back, but also figuring out what to do with that information in the real world.” —Josefino Rivera, Jr., educator in Buenos Aires, Argentina.

The classroom will be one big makerspace. “Technology like Evernote, Google, and Siri will be standard and will change what teachers value and test for. Basically, if you can ask Siri to answer a question, then you will not be evaluated on that. Instead, learning will be project based. Students will be evaluated on critical-thinking and problem-solving skills. Literature and math will still be taught, but they will be taught differently. Math will be taught as a way of learning how to solve problems and puzzles. In literature, students will be asked what a story means to them. Instead of taking tests, students will show learning through creative projects. The role of teachers will be to guide students in the areas where they need guidance as innovators. How do you get kids to be innovative? You let them. You get out of their way.” —Nicholas Provenzano, educator in Michigan, United States.

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Concerned that scientific views are not being properly represented in Washington, a new nonprofit group wants to get more scientists elected. 314 Action, named after the first three digits of pi, wants scientists to embrace the political process, running for all levels of government. The group’s aim is to get as many scientists elected as possible in the 2018 elections.

314 Action sees particular urgency for its work due to the rise of anti-science rhetoric on the Hill, especially from the right. The current Republican standard bearer President Trump has questioned the idea that climate change is caused by humans and seemingly encouraged debunked anti-vaccination opinions. With the appointments Trump made so far, it’s hard to believe his administration will advance scientific causes.

The 314 Action group describes its members as people who come from the STEM community whose goals are to increase communication between STEM community and elected officials, to actually elect STEM-trained candidates to public office, to increase presence of STEM ideas through the media, and to prevent the U.S. from falling further and further behind the rest of the world in math and science education.

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