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Artificial intelligence engineering (AI engineering) is a technical discipline that focuses on the design, development, and deployment of AI systems. AI engineering involves applying engineering principles and methodologies to create scalable, efficient, and reliable AI-based solutions.
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]
In artificial intelligence research, the situated approach builds agents that are designed to behave effectively successfully in their environment. This requires designing AI "from the bottom-up" by focussing on the basic perceptual and motor skills required to survive.
The goal of the move was to provide university students with the skills needed for the 21st century work market. [2] As part of the project, over 100 new faculty members were recruited. Each student was expected to complete a fundamental artificial intelligence course as well as a course on ethics, information, and technology.
Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI , which is limited to specific tasks. [ 1 ]
Artificial intelligence arms race – competition between two or more states to have its military forces equipped with the best "artificial intelligence" (AI). Lethal autonomous weapon; Military robot; Unmanned combat aerial vehicle; Mitigating risks: AI safety; AI control problem
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