In computational complexity theory, P and NP are two classes of problems. P is the class of decision problems that a deterministic Turing machine can solve in polynomial time. In useful terms, any ...

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 ...

Whether or not machines can quickly answer yes-or-no questions could affect everything from national security to the limits of human knowledge On a snowy day in Princeton, N.J., in March 1956, a short ...

Memcomputing is a novel non-Turing paradigm of computation that uses interacting memory cells (memprocessors for short) to store and process information on the same physical platform. It was recently ...

A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...

Quantum computers get a lot of people excited because they solve problems in a manner that's fundamentally different from existing hardware. A certain class of mathematical problems, called ...

Marcel Jackson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

The historical pursuit of creating intelligent machines has culminated in the modern era of artificial intelligence. However, the efficacy of AI applications is contingent upon a nuanced understanding ...

IF YOU have ever struggled to complete classic Nintendo games, don’t feel bad – they are officially difficult. An analysis of the computational complexity of video games, including those in the Mario ...