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Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Glossary. v. t. e. Artificial general intelligence ( AGI) is a type of artificial intelligence (AI) that matches or surpasses human capabilities across a wide range of cognitive tasks. [ 1] This is in contrast to narrow AI, which is designed for specific tasks. [ 2] AGI is considered one of various definitions of strong AI .
DevOps. DevOps is a methodology in the software development and IT industry. Used as a set of practices and tools, DevOps integrates and automates the work of software development ( Dev) and IT operations ( Ops) as a means for improving and shortening the systems development life cycle. [ 1] DevOps is complementary to agile software development ...
AI has enabled effective voice and image recognition, as well as the ability to generate synthetic imagery and speech. And researchers are hard at work making it possible for an AI to browse the ...
Open-source artificial intelligence is the application of open-source practices to the development of artificial intelligence resources. Many open-source artificial intelligence products are variations of other existing tools and technologies which have been shared as open-source software by large companies. [1]
Artificial intelligence supported design of aircraft, [ 362] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools.
Superintelligence, roughly defined as an AI algorithm that can solve all problems better than people, will be a watershed for humanity and tech. Even the best human experts have trouble making ...
t. e. Deep learning is the subset of machine learning methods based on neural networks with representation learning. The adjective "deep" refers to the use of multiple layers in the network. Methods used can be either supervised, semi-supervised or unsupervised.
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