In Theory
What Are Feynman Diagrams?
The physicist Richard Feynman devised a system of line drawings that simplified calculations of particle interactions and helped rescue the field of quantum electrodynamics.
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How a New X-Ray Technique Sees Black Holes
Astrophysicist Erin Kara explores black holes by carefully tracking the gas and plasma swirling near their event horizons.
Decoding Math’s Most Famous Fractal
Mathematicians working in the field of complex dynamical systems are patiently unraveling the Mandelbrot set’s mysteries and may be on the verge of solving a fundamental conjecture that would allow them to describe the set completely.
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Sarah Hart, the professor of geometry at Gresham College, sees symmetry everywhere.
2023’s Biggest Breakthroughs in Math
In 2023, mathematicians improved bounds on Ramsey numbers, a central measure of order in graphs; found a new aperiodic monotile; and discovered a new upper bound to the size of sets without 3-term arithmetic progressions.
2023’s Biggest Breakthroughs in Physics
In 2023, physicists found the gravitational wave background that’s made by supermassive black hole collisions, teleported quantum energy in the lab, and puzzled over JWST’s potentially cosmology-breaking discoveries.
2023’s Biggest Breakthroughs in Computer Science
In 2023, computer scientists made progress on a new vector-driven approach to AI, fundamentally improved Shor’s algorithm for factoring large numbers, and examined the surprising and powerful behaviors that can emerge from large language models.
2023’s Biggest Breakthroughs in Biology and Neuroscience
During 2023, Quanta turned a spotlight on important research progress into the nature of consciousness, the origins of our microbiomes and the timekeeping mechanisms that govern our lives and development, among many other discoveries.
P vs. NP – The Greatest Unsolved Problem in Computer Science
Is it possible to invent a computer that computes anything in a flash? Or could some problems stump even the most powerful of computers? Computational complexity theorists study these questions and others in the hopes of determining the limits of a computer’s powers.
How AI Learns to ‘See’
Alexei Efros describes how he combines massive online data sets with machine learning algorithms to understand, model and re-create the visual world.