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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.
In harsh ecosystems around the world, microbiologists are finding evidence that “microbial seed banks” protect biodiversity from changing conditions.
In a world seemingly filled with chaos, physicists have discovered new forms of synchronization and are learning how to predict and control them.
Researchers have just released hacker-proof cryptographic code — programs with the same level of invincibility as a mathematical proof.
During development, cells seem to decode their fate through optimal information processing, which could hint at a more general principle of life.
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.
