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Archive for the ‘mathematics’ category: Page 13

Jun 13, 2024

Quantum data assimilation offers new approach to weather prediction

Posted by in categories: mathematics, quantum physics

Data assimilation is a mathematical discipline that integrates observed data and numerical models to improve the interpretation and prediction of dynamical systems. It is a crucial component of Earth sciences, particularly in numerical weather prediction (NWP).

Jun 13, 2024

Researchers ask industry for ways to guarantee the performance and accuracy of artificial intelligence (AI)

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

Officials of the U.S. Defense Advanced Research Projects Agency (DARPA) in Arlington, Va., issued a broad agency announcement (HR001124S0029) for the Artificial Intelligence Quantified (AIQ) project.

AIQ seeks to find ways of assessing and understanding the capabilities of AI to enable mathematical guarantees on performance. Successful use of military AI requires ensuring safe and responsible operation of autonomous and semi-autonomous technologies.

Jun 12, 2024

Mathematicians can’t agree what ‘equals’ means, and that’s a problem

Posted by in categories: computing, mathematics

What does “equals” mean? For mathematicians, this simple question has more than one answer, which is causing issues when it comes to using computers to check proofs. The solution might be to tear up the foundations of maths.

By Alex Wilkins

Jun 10, 2024

The New Math of How Large-Scale Order Emerges

Posted by in category: mathematics

Emergent phenomena: large-scale patterns and organization arise from innumerable interactions between component parts.

The behavior of a complex system might be considered emergent if it can’t be predicted from the properties of the parts alone.


The puzzle of emergence asks how regularities emerge on macro scales out of uncountable constituent parts. A new framework has researchers hopeful that a solution is near.

Jun 9, 2024

AI Will Become Mathematicians’ ‘Co-Pilot’

Posted by in categories: mathematics, robotics/AI

Fields Medalist Terence Tao explains how proof checkers and AI programs are dramatically changing mathematics.

By Christoph Drösser

Mathematics is traditionally a solitary science. In 1986 Andrew Wiles withdrew to his study for seven years to prove Fermat’s theorem. The resulting proofs are often difficult for colleagues to understand, and some are still controversial today. But in recent years ever larger areas of mathematics have been so strictly broken down into their individual components (“formalized”) that proofs can be checked and verified by computers.

Jun 8, 2024

Georg Cantor : Contributions to the Founding of the Theory of Transfinite Numbers

Posted by in category: mathematics

This is a series of videos that I decided to make on Georg Cantor’s groundbreaking works published in 1,895 and 1,897 titled Contributions to the Founding of the Theory of Transfinite Numbers.

This work could probably be counted among the most influential and significant works in mathematical history — Cantor’s transfinite numbers changed the face of mathematics completely (although, not to everyone’s pleasure). The impact of Cantor’s work can’t be underestimated.

Continue reading “Georg Cantor : Contributions to the Founding of the Theory of Transfinite Numbers” »

Jun 7, 2024

Quantum Pioneers: How Magnetic Quivers Are Rewriting the Rules of Particle Physics

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

A simple concept of decay and fission of “magnetic quivers” helps to clarify complex quantum physics and mathematical structures.

Researchers employed magnetic quivers to delve into the fundamentals of quantum physics, specifically through the lens of supersymmetric quantum field theories. They have provided a novel interpretation of the Higgs mechanism, illustrating how particles gain mass and the potential decay and fission within QFTs.

Pioneering Quantum Physics Study

Jun 7, 2024

Brian Greene — What Was There Before The Big Bang?

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

The American theoretical physicist, Brian Greene explains various hypotheses about the causation of the big bang. Brian Greene is an excellent science communicator and he makes complex cosmological concepts more easy to understand.

The Big Bang explains the evolution of the universe from a starting density and temperature that is currently well beyond humanity’s capability to replicate. Thus the most extreme conditions and earliest times of the universe are speculative and any explanation for what caused the big bang should be taken with a grain of salt. Nevertheless that shouldn’t stop us to ask questions like what was there before the big bang.

Continue reading “Brian Greene — What Was There Before The Big Bang?” »

Jun 6, 2024

Maze Proof Establishes a ‘Backbone’ for Statistical Mechanics

Posted by in category: mathematics

Four mathematicians have estimated the chances that there’s a clear path through a random maze.

Jun 6, 2024

What’s Wrong with Symbolic Logic?

Posted by in categories: computing, mathematics, neuroscience

Actually, nothing is wrong with it if you are a computer science major. It’s just that it has no place in the philosophy department.

From the point of anyone wanting to work in natural language, symbolic logic has all of the vices of mathematics and none of its virtues. That is, it is obscure to the point of incomprehensibility (given the weak neurons of this English major at any rate), and it leads to no useful outcome in the domain of human affairs. This would not be so bad were it not for all those philosophy major curricula that ask freshmen to take a course in it as their “introduction” to philosophy. For anyone looking to explore the meaning of life, this is a complete turnoff.

What were the philosophy mavens thinking?

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