The phrase "artificial intelligence computing" is correct and usable in written English.
It can be used when discussing the computational aspects or applications of artificial intelligence technologies.
Example: "The advancements in artificial intelligence computing have revolutionized data analysis and machine learning."
Alternatives: "AI computing" or "computational AI".
Turing made highly significant contributions to the emerging field of artificial intelligence and computing.
Though most famous for his codebreaking, Turing is often considered to be the father of modern computer science, having made highly significant contributions to the emerging field of artificial intelligence and computing.
A petition on the No 10 website had called for a posthumous government apology to the pioneer who made significant contributions to the emerging fields of artificial intelligence and computing.
Google continues to increase its presence in China after it joined Sequoia China and Tencent in a $15 million investment for XtalPi, a U.S.-China biotech firm that uses artificial intelligence and computing to accelerate the development of new drugs.
When it comes to how humans communicate with each other or with machines, voice is a major interface, with growth in the latter fuelled by the rise of artificial intelligence, faster computing technology and an explosion of new devices — some of which only, or primarily, work with voice commands.
VJCS is a new international journal addressing all subdisciplines of computer science, with a particular emphasis on information systems and knowledge engineering, artificial intelligence, soft computing including computational intelligence, agents and multiagent systems, Web intelligence, and optimization.
With the prosperous development of artificial intelligence, cloud/edge computing and 5G network slicing, a more intelligent vehicular network is under deliberation.
(See also artificial intelligence: Evolutionary computing).
Membership functions are determined by both theoretical and empirical methods that depend on the particular application, and they may include the use of learning and optimization techniques such as neural networks or genetic algorithms (see artificial intelligence: Evolutionary computing).
