(computing) The use of quantum mechanical phenomena to transcend classical time complexity limitations in computing.

(computing, sciences) The use of computing to solve scientific and engineering problems, especially by means of simulation, or the construction of mathematical models of physical, chemical or biological processes

(computing) The practice of processing or analyzing data at or near the point of data production rather than in a central processing facility requiring data transport to the central facility.

(artificial intelligence) The study and development of systems and devices that can recognize, interpret, process, and simulate human affects.

(computing) Cloud computing by means of personal computers, mobile phones, etc.

A framework for computation derived from recurrent neural network theory, mapping input signals into higher-dimensional computational spaces through the dynamics of a fixed, non-linear system called a reservoir.

The process of aggregating the power of several computers to collaboratively run a single computational task in a transparent and coherent way.

An approach to computing based around the use of thin clients.

(computing) A form of computing in which the computer resources are consumed like a traditional utility (water, electricity, gas).

(informal, computing) Computing services provided over the Internet (or "cloud"), whereby shared resources, software, and information are provided to computers and other devices on demand.