Archive

A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.

Astronomers have known where the universe’s missing matter has been hiding for the past 20 years. So why did it take so long to find it?

Machine learning techniques are commonly based on how the visual system processes information. To beat their limitations, scientists are drawing inspiration from the sense of smell.

In math, sometimes the most common things are the hardest to find.

Maria-Luiza Pedrotti is illuminating the unseen worlds of plastic-eating bacteria that teem in massive ocean garbage patches.

The first animal genus defined purely by genetic characters represents a new era for the sorting and naming of animals.

Cosmologists have predicted the existence of an oscillating signal that could distinguish between cosmic inflation and alternative theories of the universe’s birth.

For decades, astronomers weren’t able to find all of the atomic matter in the universe. A series of recent papers has revealed where it’s been hiding.

How much stock should we put in mathematical models of evolution that have not been validated by rigorous empirical data?