Researchers Achieve 'Absurdly Fast' Algo...

Emmy Noether showed that fundamental physical laws are just a consequence of simple symmetries. A century later, her insights continue to shape physics.“The post How Noether’s Theorem Revolutionized Physics first appeared on Quanta Magazine. 

The Busy Beaver Challenge, an open online collaboration, started in 2022 to finally solve a major problem in theoretical computer science. Over time, the online community grew to include more than 20 contributors from around the world, most of them without traditional academic cr ... Show More

Turbulence is a notoriously difficult phenomenon to study. Mathematicians are now starting to untangle it at its smallest scales.This is the sixth episode of The Quanta Podcast. In each episode, Quanta Magazine editor in chief Samir Patel speaks with the minds behind the award-wi ... Show More

While quantum computers show great promise for the future, today’s processors are small and noisy – and this makes it very difficult to do meaningful quantum calculations right now. To address this problem, researchers are developing clever quantum algorithms that make the most o ... Show More

Can algorithms help writers think more clearly and create innovative work ? On this week's 'Algorithm Verb' Ian McMillan is joined by Helen Arney, who performs a brand new love-song (written for the programme) using search engine algorithms, by Eugenia Cheng, a mathematician and ... Show More

Artificial intelligence can code computer programs, draw pictures and even take notes for doctors. Now, researchers are excited about the possibility that AI speeds up the scientific process — from quicker drug design to someday developing new hypotheses. Science correspondent Ge ... Show More

How do you teach mathematics to an artificial intelligence? AI has already bested humans at various problem-solving tasks, including games like chess and Go. But before any task can be tackled by a machine, it must be reinterpreted as  directions in language that computers can un ... Show More

Richard Karp is a professor at Berkeley and one of the most important figures in the history of theoretical computer science. In 1985, he received the Turing Award for his research in the theory of algorithms, including the development of the Edmonds–Karp algorithm for solving th ... Show More

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ... Show More

Hidden from view, complex to understand and often controversial, algorithms are at the heart of computer coding that underpins modern society. Every time we search the internet, every time we pay by credit card, even the romantic partners suggested to us by online dating sites – ... Show More

Gordon Moore, the co-founder of Intel who died earlier this year, is famous for forecasting a continuous rise in the density of transistors that we can pack onto semiconductor chips. His eponymous “Moore’s law” still holds true after almost six decades, but further progress is be ... Show More

What does it mean to solve a problem in our universe? That's a trickier question than you might think, with some fairly high-stakes ramifications in the worlds of computing and even philosophy. In this episode of Stuff to Blow Your Mind, Robert and Joe explore the inherent logic ... Show More

In this episode, i'm joined by Rachel Thomas, founder and researcher at Fast AI. If you’re not familiar with Fast AI, the company offers a series of courses including Practical Deep Learning for Coders, Cutting Edge Deep Learning for Coders and Rachel’s Computational Linear Algeb ... Show More