A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

Constraint satisfaction problems (CSPs) provide a versatile framework for modelling complex decision-making tasks where a collection of variables must be allocated values that satisfy specific ...

If you're a soccer fan, you're familiar with this common sight: A penalty kick is in place, with a "wall" of defenders lined ...

We are clearly on the verge of a revolution in medicine—one in which the sequence of As, Ts, Gs, and Cs is as much a part of a patient’s phenotypic profile as are the sounds of the heart or were the ...

Computational physics jobs involve calculations and formulas. It combines physics, computer science and applied mathematics in order to provide scientific solutions to realistic and often complex ...

Many aspects of modern applied research rely on a crucial algorithm called gradient descent. This is a procedure generally used for finding the largest or smallest values of a particular mathematical ...

The original version of this story appeared in Quanta Magazine. Say you want to send a private message, cast a secret vote, or sign a document securely. If you do any of these tasks on a computer, you ...

The most widely used technique for finding the largest or smallest values of a math function turns out to be a fundamentally difficult computational problem. Many aspects of modern applied research ...

Thousands of notoriously difficult problems in computer science are actually the same problem in disguise If you're enjoying this article, consider supporting our award-winning journalism by ...

Genetically engineered bacteria, rigged up as a distributed computing system, might help realize synthetic biology’s loftier goals. E. coli thrives in our guts, sometimes to unfortunate effect, and it ...