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In a world seemingly filled with chaos, physicists have discovered new forms of synchronization and are learning how to predict and control them.
Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.
In a Paris lab, researchers have shown for the first time that quantum methods of transmitting information are superior to classical ones.
Some researchers are using a complexity framework thought to be purely theoretical to understand evolutionary dynamics in biological and computational systems.