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The latest AI algorithms are probing the evolution of galaxies, calculating quantum wave functions, discovering new chemical compounds and more. Is there anything that scientists do that can’t be automated?
A state-of-the-art supercomputer simulation indicates that a feedback loop between global warming and cloud loss can push Earth’s climate past a disastrous tipping point in as little as a century.
The brain can’t directly encode the passage of time, but recent work hints at a workaround for putting timestamps on memories of events.
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.
Simple physical principles can be used to describe how rivers grow everywhere from Florida to Mars.
On November 16, 2018, more than 200 readers joined writers and editors from Quanta Magazine for a wide-ranging panel discussion that examined the newest ideas in fundamental physics, biology and mathematics research.
How does evolution select the fittest “individuals” when they are ecosystems made up of hosts and their microbiomes? Biologist debate the need to revise theories.
