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Archive for the ‘mathematics’ category: Page 33

Jul 4, 2017

This is the Closest Thing We Have to a Master Equation of the Universe

Posted by in categories: information science, mathematics, physics, space

The grand theory of almost everything actually represents a collection of several mathematical models that proved to be timeless interpretations of the laws of physics.

Here is a brief tour of the topics covered in this gargantuan equation.

This version of the Standard Model is written in the Lagrangian form. The Lagrangian is a fancy way of writing an equation to determine the state of a changing system and explain the maximum possible energy the system can maintain.

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Jun 23, 2017

Magnetic nanoknots evoke Lord Kelvin’s vortex theory of atoms

Posted by in categories: biotech/medical, computing, mathematics, nanotechnology

(Phys.org)—In the late 1800s when scientists were still trying to figure out what exactly atoms are, one of the leading theories, proposed by Lord Kelvin, was that atoms are knots of swirling vortices in the aether. Although this idea turned out to be completely wrong, it ushered in modern knot theory, which today is used in various areas of science such as fluid dynamics, the structure of DNA, and the concept of chirality.

Now in a new paper published in Physical Review Letters, mathematical physicist Paul Sutcliffe at Durham University in the UK has theoretically shown that nanoparticles called magnetic skyrmions can be tied into various types of knots with different magnetic properties. He explains that, in a sense, these nanoknots represent a “nanoscale resurrection of Kelvin’s dream of knotted fields.”

Skyrmions are the name of a general class of particles that are made by twisting a field. When this field is a magnetic field, the skyrmions are called magnetic skyrmions. Magnetic skyrmions have attracted a lot of attention recently due to their potential applications in spintronics, where electron spins (which are related to the electron’s magnetic properties) are exploited in the design of transistors, storage media, and related devices.

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May 31, 2017

The “Door’ To Another Universe…Can We Find The Black Hole That Opens It…Physicists Say “Yes!”

Posted by in categories: cosmology, information science, mathematics, physics

According to a mind-bending new theory, a black hole could actually be a tunnel between universes, meaning our universe may be nested inside a black hole that is part of a larger universe. The theory explains that the matter doesn’t collapse into a single point, but rather gushes out a “white hole” at the other end of the black one.

The theory was published in the journal Physics Letters B, by Indiana University physicist Nikodem Poplawski. In his article, he presents new mathematical models of the spiraling motion of matter falling into the black hole. His equations suggest that wormholes are probable alternatives to the “space-time singularities” originally predicted by Albert Einstein.

Einstein’s equations for general relativity suggest singularities are created whenever matter in a given region gets too dense as would happen at the center of a black hole. Singularities are infinitely dense and hot, and take up no space. This idea has been supported by indirect evidence but has never been fully accepted into the scientific community.

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May 30, 2017

How to Incentivize Bitcoin miners after all 21M BTC are awarded

Posted by in categories: bitcoin, cryptocurrencies, economics, innovation, internet, mathematics

Individuals who mine Bitcoins needn’t be miners. We call them ‘miners’ because they are awarded BTC as they solve mathematical computations. The competition to unearth these reserve coins also serves a vital purpose. They validate the transactions of Bitcoin users all over the world: buyers, loans & debt settlement, exchange transactions, inter-bank transfers, etc. They are not really miners. They are more accurately engaged in transaction validation or ‘bookkeeping’.

There are numerous proposals for how to incentivize miners once all 21 million coins have been mined/awarded in May 2140. Depending upon the network load and the value of each coin, we may need to agree on an alternate incentive earlier than 2140. At the opening of the 2015 MIT Bitcoin Expo, Andreas Antonopolous proposed some validator incentive alternatives. One very novel suggestion was based on game theory and involved competition and status rather than cash payments.

I envision an alternative approach—one that also addresses the problem of miners and users having different goals. In an ideal world the locus of users should intersect more fully with the overseers…

To achieve this, I have proposed that every wallet be capable of also mining, even if the wallet is simply a smartphone app or part of a cloud account at an exchange service. To get uses participating in validating the transactions of peers, any transaction fee could be waived for anyone who completes 1 validation for each n transactions. (Say one validation for every five or ten transactions). In this manner, everyone pitches in a small amount of resources to maintain a robust network.

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May 10, 2017

New Research Shows That Time Travel Is Mathematically Possible

Posted by in categories: mathematics, time travel

We have the math locked down. Next, we need the materials.

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Apr 28, 2017

Physicists Just Came Up With a Mathematical Model for a Viable Time Machine

Posted by in categories: mathematics, physics, time travel

Physicists have come up with what they claim is a mathematical model of a theoretical “time machine” — a box that can move backwards and forwards through time and space.

The trick, they say, is to use the curvature of space-time in the Universe to bend time into a circle for hypothetical passengers sitting in the box, and that circle allows them to skip into the future and the past.

“People think of time travel as something as fiction. And we tend to think it’s not possible because we don’t actually do it,” says theoretical physicist and mathematician, Ben Tippett, from the University of British Columbia in Canada.

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Apr 26, 2017

15 books to browse ahead of TED2017

Posted by in categories: biotech/medical, employment, genetics, information science, life extension, mathematics

2017 begins on Monday in Vancouver, Canada, and will explore the theme “The Future You.” If the future you is anything like the future us, you are likely curled up in a big cushy chair right now, devouring the contents of a book that flips your thinking. Below, some reading suggestions from the speaker program. Read, enjoy and stay tuned to the TED Blog for beat-by-beat coverage of the conference.


TED2017 begins on Monday in Vancouver, Canada, and will explore the theme “The Future You.” If the future you is anything like the future us, you are likely curled up in a big cushy chair right now, devouring the contents of a book that flips your thinking. Below, some reading suggestions from the speaker program. Read, enjoy and stay tuned to the TED Blog for beat-by-beat coverage of the conference.

Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil. The decisions that affect our lives are no longer made by humans — they’re made by algorithms. This might sound like a great way around bias and discrimination, but these things are often built right into our mathematical models. When it comes to college admissions, decisions on parole, applications to jobs and the affects of a bad credit score, O’Neil explores the unintended consequences of algorithms. (Read an excerpt.)

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Apr 20, 2017

Socratic: Socratic app can solve your math problems

Posted by in category: mathematics

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Apr 19, 2017

AIMS takes Africa on a quantum leap into science

Posted by in categories: internet, mathematics, science

AIMS contributes to this by having created a network across the continent via its various centres in South Africa (initially founded in Cape Town in 2003), Senegal, Ghana, Cameroon, Tanzania, and now Rwanda. It not only educates but it also actively promotes mathematics and science in Africa in various effective ways, some of which we will cover below. It is essentially creating a pool of excellent African mathematicians and scientists who will (in turn) apply solutions to our continent’s challenges. Yes, many of them actually stay here.


AIMS’ new centre in Rwanda offers a model many of our organisations, and many entrepreneurs, can follow. It’s an exciting endeavour creating a quantum leap for the continent. But it should also make us ask hard questions about what we deem important and what we talk about.

As soon as I touched down at Kigali International Airport, Rwanda, I could feel something phenomenal was in the air. Perhaps it was because people kept telling me that Kigali is a true African city, or perhaps it was the sheer amount of beauty of Rwanda — an African nation with its own, unique African identity — or perhaps it was the amazing innovation and technology I encountered from touchdown (free Wi-Fi on the bus, MTN tap-and-go payments, and more) right to where I was going: The African Institute of Mathematical Sciences (AIMS).

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Apr 18, 2017

Neural networks explained

Posted by in categories: mathematics, mobile phones, neuroscience, robotics/AI

In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google’s latest automatic translator—have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years. Neural networks were first proposed in 1944 by Warren McCullough and Walter Pitts, two University of Chicago researchers who moved to MIT in 1952 as founding members of what’s sometimes called the first cognitive science department.

Neural nets were a major area of research in both neuroscience and computer science until 1969, when, according to computer science lore, they were killed off by the MIT mathematicians Marvin Minsky and Seymour Papert, who a year later would become co-directors of the new MIT Artificial Intelligence Laboratory.

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