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Archive for the ‘mathematics’ category: Page 106

Jan 13, 2021

Aubrey de Grey Longevity Q&A — The last 25 years, SENS, Longevity Escape Velocity, & More

Posted by in categories: bioengineering, biotech/medical, cryonics, life extension, mathematics, neuroscience

Annotated!


Aubrey David Nicholas Jasper de Grey is an English author and biomedical gerontologist. He is the Chief Science Officer of the SENS Research Foundation and VP of New Technology Discovery at AgeX Therapeutics.
Feel free to ask any related questions that you want Aubrey to try and answer!

Continue reading “Aubrey de Grey Longevity Q&A — The last 25 years, SENS, Longevity Escape Velocity, & More” »

Jan 11, 2021

A “no math” (but seven-part) guide to modern quantum mechanics

Posted by in categories: mathematics, particle physics, quantum physics

Welcome to “The curious observer’s guide to quantum mechanics”–featuring particle/wave duality.

Jan 9, 2021

The Mathematics of Consciousness

Posted by in categories: mathematics, neuroscience

https://youtube.com/watchv=efVBUDnD_no&feature=share

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Jan 7, 2021

2020’s Biggest Breakthroughs in Math and Computer Science

Posted by in categories: computing, mathematics, particle physics, quantum physics, science

For mathematicians and computer scientists, 2020 was full of discipline-spanning discoveries and celebrations of creativity. We’d like to take a moment to recognize some of these achievements.

1. A landmark proof simply titled MIP = RE” establishes that quantum computers calculating with entangled qubits can theoretically verify the answers to an enormous set of problems. Along the way, the five computer scientists who authored the proof also answered two other major questions: Tsirelson’s problem in physics, about models of particle entanglement, and a problem in pure mathematics called the Connes embedding conjecture.

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Jan 1, 2021

Self and Consciousness | Prof. Anil Seth

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

Happy 2021 from 2020.


Get early access to our latest psychology lectures: http://bit.ly/new-talks.

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Dec 28, 2020

SpaceX Completed A Record-breaking Launch Manifest In 2020

Posted by in categories: Elon Musk, mathematics, robotics/AI, space travel

SpaceX’s fleet of reusable Falcon 9 rockets enabled it to conduct more missions in 2020 than ever before. SpaceX completed a record-breaking launch manifest this year, it conducted 26 rocket launches –the most annual launches it has performed in history. Rocket reusability has played a significant role in increasing launch cadence. Falcon 9 is capable of launching payload to orbit and returning from space to land vertically on landing pads and autonomous droneships at sea. To date, SpaceX has landed 70 orbital-class Falcon 9 boosters and reused 49. This year the company accomplished flying two particular rocket boosters 7 times. Engineers aim to reuse a first-stage booster at least 10 times to reduce the cost of spaceflight. The most reused Falcon 9 rockets that reached 7 reflights this year are two first-stage boosters identified as B1051 and B1049. SpaceX is just three flights away from achieving 10 reflights. SpaceX officials state Falcon 9 [Block 5] is designed to perform up to 100 reflights.

Stephen Marr, a spaceflight photographer who goes by the name @spacecoast_stve on Twitter, shared a photo collage of all the Falcon 9 boosters used in 2020, “SpaceX carried out a record-breaking 26 launches this year, but how many boosters did it take to get it done? The answer is 11. And here they are!” he wrote. SpaceX founder Elon Musk replied to Marr’s tweet –“Falcon was 25% of successful orbital launches in 2020, but maybe a majority of payload to orbit. Anyone done the math?” he said.

Dec 25, 2020

How ‘spooky’ is quantum physics? The answer could be incalculable

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

Proof at the nexus of pure mathematics and algorithms puts ‘quantum weirdness’ on a whole new level.

Dec 24, 2020

The Case for Teleological Evolution

Posted by in categories: cosmology, evolution, mathematics, neuroscience, quantum physics, singularity

The Big Bang might never have existed as many cosmologists start to question the origin of the Universe. The Big Bang is a point in time defined by a mathematical extrapolation. The Big Bang theory tells us that something has to have changed around 13.7 billion years ago. So, there is no “point” where the Big Bang was, it was always an extended volume of space, according to the Eternal Inflation model. In light of Digital Physics, as an alternative view, it must have been the Digital Big Bang with the lowest possible entropy in the Universe — 1 bit of information — a coordinate in the vast information matrix. If you were to ask what happened before the first observer and the first moments after the Big Bang, the answer might surprise you with its straightforwardness: We extrapolate backwards in time and that virtual model becomes “real” in our minds as if we were witnessing the birth of the Universe.

In his theoretical work, Andrew Strominger of Harvard University speculates that the Alpha Point (the Big Bang) and the Omega Point form the so-called ‘Causal Diamond’ of the conscious observer where the Alpha Point has only 1 bit of entropy as opposed to the maximal entropy of some incredibly gigantic amount of bits at the Omega Point. While suggesting that we are part of the conscious Universe and time is holographic in nature, Strominger places the origin of the Universe in the infinite ultra-intelligent future, the Omega Singularity, rather than the Big Bang.

The Universe is not what textbook physics tells us except that we perceive it in this way — our instruments and measurement devices are simply extensions of our senses, after all. Reality is not what it seems. Deep down it’s pure information — waves of potentiality — and consciousness orchestrating it all. The Big Bang theory, drawing a lot of criticism as of late, uses a starting assumption of the “Universe from nothing,” (a proverbial miracle, a ‘quantum fluctuation’ christened by scientists), or the initial Cosmological Singularity. But aside from this highly improbable happenstance, we can just as well operate from a different set of assumptions and place the initial Cosmological Singularity at the Omega Point — the transcendental attractor, the Source, or the omniversal holographic projector of all possible timelines.

Dec 21, 2020

Artificial intelligence solves Schrödinger’s equation

Posted by in categories: chemistry, information science, mathematics, particle physics, quantum physics, robotics/AI, space

A team of scientists at Freie Universität Berlin has developed an artificial intelligence (AI) method for calculating the ground state of the Schrödinger equation in quantum chemistry. The goal of quantum chemistry is to predict chemical and physical properties of molecules based solely on the arrangement of their atoms in space, avoiding the need for resource-intensive and time-consuming laboratory experiments. In principle, this can be achieved by solving the Schrödinger equation, but in practice this is extremely difficult.

Up to now, it has been impossible to find an exact solution for arbitrary molecules that can be efficiently computed. But the team at Freie Universität has developed a deep learning method that can achieve an unprecedented combination of accuracy and computational efficiency. AI has transformed many technological and scientific areas, from computer vision to materials science. “We believe that our approach may significantly impact the future of quantum ,” says Professor Frank Noé, who led the team effort. The results were published in the reputed journal Nature Chemistry.

Central to both quantum chemistry and the Schrödinger equation is the —a mathematical object that completely specifies the behavior of the electrons in a molecule. The wave function is a high-dimensional entity, and it is therefore extremely difficult to capture all the nuances that encode how the individual electrons affect each other. Many methods of quantum chemistry in fact give up on expressing the wave function altogether, instead attempting only to determine the energy of a given molecule. This however requires approximations to be made, limiting the prediction quality of such methods.

Dec 20, 2020

Neuroscientists investigate the relationship between language and cognitive functions

Posted by in categories: computing, mathematics, neuroscience

In some ways, learning to program a computer is similar to learning a new language. It requires learning new symbols and terms, which must be organized correctly to instruct the computer what to do. The computer code must also be clear enough that other programmers can read and understand it.

In spite of those similarities, MIT neuroscientists have found that reading computer code does not activate the regions of the brain that are involved in language processing.

Instead, it activates a distributed network called the multiple demand network, which is also recruited for complex cognitive tasks such as solving math problems or crossword puzzles.