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Latest Articles
Neural Networks Need Data to Learn. Even If It’s Fake.
Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.
Flow Proof Helps Mathematicians Find Stability in Chaos
A series of new papers describes how to fully characterize key dynamical systems with relatively little data.
‘Embryo Models’ Challenge Legal, Ethical and Biological Concepts
With embryolike constructs built entirely from stem cells, researchers can revolutionize our understanding of development. But how close to an embryo is too close?
A New Experiment Casts Doubt on the Leading Theory of the Nucleus
By measuring inflated helium nuclei, physicists have challenged our best understanding of the force that binds protons and neutrons.
Sparse Networks Come to the Aid of Big Physics
A novel type of neural network is helping physicists with the daunting challenge of data analysis.
In New Paradox, Black Holes Appear to Evade Heat Death
The puzzling behavior of black hole interiors has led researchers to propose a new physical law: the second law of quantum complexity.
First-Year Graduate Student Finds Paradoxical Set
No two pairs have the same sum; add three numbers together, and you can get any whole number.
How Math Has Changed the Shape of Gerrymandering
New tools make it possible to detect hidden manipulation of maps.
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Illuminating basic science and math research through public service journalism.
More about usQuanta Magazine is committed to in-depth, accurate journalism that serves the public interest. Each article braids the complexities of science with the malleable art of storytelling and is meticulously reported, edited and fact-checked. Launched and funded by the Simons Foundation, Quanta is editorially independent — our articles do not reflect or represent the views of the foundation.