In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...

Scientists from Argentina and the United States have mapped a cold-water coral reef roughly the size of Vatican City in the ...

A single organism in eastern Oregon has been quietly consuming a forest for an estimated 2,400 years, and it now ranks as the largest known living thing on the planet. The honey fungus Armillaria ...

In January, 1923, Lee Strasberg went to Al Jolson’s 59th Street Theatre to see “Tsar Fyodor Ivanovich,” a nineteenth-century Russian play about sixteenth-century Russian politics, performed, in ...

Through trend analyses, this surveillance highlighted both the emergence and decline of AMR across diverse bacterial pathogens, helping inform which antibiotics may remain appropriate as first-line ...

Background Difference-in-differences is a method commonly used in population health research. It is based on assumptions that ...

National security, unlocked. Each Thursday, host Mary Louise Kelly and a team of NPR correspondents discuss the biggest national security news of the week. With decades of reporting from battlefields ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Rituals seem to be declining in modern life. Finding ways to gather together meaningfully can help us combat loneliness, pain, and division. Decades of research suggest that the quality of our social ...

Background Despite progress in reducing global maternal mortality in recent decades, low- and lower-middle-income countries ...

Computational models are mathematical models used to numerically study the behaviour of complex systems by means of a computer simulation. A computational model can be used to make predictions of the ...

Modeling the effect of DNA sequence variation on phenotypes such as gene expression faces unique challenges when deciphering inter-individual variation. This study presents a scalable and efficient ...