Articles republished from Quanta Magazine
Cells that control an animal’s spatial awareness can reorient themselves to favor locations that are full of food.
Intelligent planet-hoppers could populate a galaxy in as little as 650,000 years.
The world is full of unexpected relationships.
The same neural system could map both the physical and conceptual worlds.
An intelligent fish has stirred up a debate about how to measure self-awareness among animals—and what self-awareness even is in the first place.
Black holes are somehow able to grow constantly without changing their size. Physics might finally be able to explain why.
“When you see that, you know you’re touching on something very, very deep and fundamental.”
H2O is older than the sun, and could play a key role in helping planets grow.
After a century of debate, an alternative theory that favored classical reality has finally met its ruin.
A growing body of research suggests that models of the warming world have underestimated a crucial ingredient: vegetation.
A new analysis could put the question of cosmic expansion to rest once and for all.
By picking up on patterns too subtle for humans to notice, non-line-of-sight imaging can see around corners and through walls.
A new conjecture in physics challenges the leading “theory of everything.”
The concentration of metals in our star will determine when it dies, but scientists struggle to settle on an estimate.
Earth's slipping, sliding outer crust could be key to hosting a wide variety of living things.
When Victoria Meadows needs to ponder life on distant planets, she surrounds herself with earthly vegetation.
Judea Pearl helped artificial intelligence gain a strong grasp on probability, but laments that it still can't compute cause and effect.
The Milky Way's deep past is beginning to come into view.
Information and viruses spread through the body in surprisingly similar ways.
For two decades, one research team has detected collisions between dark and ordinary matter—but no one else can replicate their findings.
Using the wrong method to analyze a data set can yield misleading results. So one researcher is championing an approach that works for nearly everything.