Quantitative models built by the mathematical biologist Trachette Jackson can make cancer therapies safer and more effective.
Maggie Chiang for Quanta Magazine
Today’s powerful but little-understood artificial intelligence breakthroughs echo past examples of unexpected scientific progress.
After a search of neutron stars finds preliminary evidence for hypothetical dark matter particles called axions, astrophysicists are devising new ways to spot them.
A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.
When animals move through 3D spaces, the neat system of grid cell activity they use for navigating on flat surfaces gets more disorderly. That has implications for some ideas about memory and other processes.
Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals.
To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.
Benjamin List and David MacMillan received the 2021 Nobel Prize in Chemistry for their development of asymmetrical organocatalysis.
Like a perpetual motion machine, a time crystal forever cycles between states without consuming energy. Physicists claim to have built this new phase of matter inside a quantum computer.
How readers used their geometry skills to survive a dangerous puzzle.
Quanta 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.
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