Archive

Researchers explored the zone between life and death, charted the mind’s system for arranging ideas and memories and learned how life’s complexity emerged.

Mathematicians and computer scientists made big progress in number theory, graph theory, machine learning and quantum computing, even as they reexamined our fundamental understanding of mathematics and neural networks.

Snow crystals come in two main types. The “pope” of snowflake physics has a new theory that explains why.

Researchers have spent centuries looking for a scenario in which the Euler fluid equations fail. Now a mathematician has finally found one.

A study challenged the evidence for the mysterious antigravitational force known as dark energy. Then cosmologists shot back.

An organized tide of brain waves, blood and spinal fluid pulsing through a sleeping brain may flush away neural toxins that cause Alzheimer’s and other diseases.

After a space telescope disintegrated, astrophysicists had little hope of understanding how supermassive black holes agitate giant galaxies. Then they invented a hack.

Mathematicians regard the Collatz conjecture as a quagmire and warn each other to stay away. But now Terence Tao has made more progress than anyone in decades.

Machine learning and deep neural networks can capture and analyze the “language” of animal behavior in ways that go beyond what’s humanly possible.