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 ...

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 ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, ...

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 ...

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 ...