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Chaos Researchers Can Now Predict Perilous Points of No Return
A custom-built machine learning algorithm can predict when a complex system is about to switch to a wildly different mode of behavior.
Hidden Chaos Found to Lurk in Ecosystems
New research finds that chaos plays a bigger role in population dynamics than decades of ecological data seemed to suggest.
Dennis Sullivan, Uniter of Topology and Chaos, Wins the Abel Prize
The American mathematician invented entire new ways to understand shapes and spaces.
How We Can Make Sense of Chaos
Dynamical systems can be chaotic and impossible to predict, but mathematicians have discovered tools to help understand them.
Work on Earth’s Climate and Other Complex Systems Earns Nobel Prize in Physics
Syukuro Manabe and Klaus Hasselmann have been honored for their work that led to reliable predictions of the effects of climate change. They will share the Nobel with Giorgio Parisi, who has made pioneering studies of chaotic physical systems.
New Quantum Algorithms Finally Crack Nonlinear Equations
Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.
The Hidden Heroines of Chaos
Two women programmers played a pivotal role in the birth of chaos theory. Their previously untold story illustrates the changing status of computation in science.
Machine Learning’s ‘Amazing’ Ability to Predict Chaos
In new computer experiments, artificial-intelligence algorithms can tell the future of chaotic systems.
A Twisted Path to Equation-Free Prediction
Complex natural systems defy analysis using a standard mathematical toolkit, so one ecologist is throwing out the equations.