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The Institute of Electrical and Electronics Engineers (IEEE) style is a widely accepted format for writing research papers, commonly used in technical fields, particularly in computer science. [1] IEEE style is based on the Chicago Style . [ 2 ]
Technical writing is most commonly performed by a trained technical writer and the content they produce is the result of a well-defined process. Technical writers follow strict guidelines so the technical information they share appears in a single, popularly used and standardized format and style (e.g., DITA, markdown format, AP Stylebook, Chicago Manual of Style).
The work is often referred to as "Turabian" (after the work's original author, Kate L. Turabian) or by the shortened title, A Manual for Writers. [1] The style and formatting of academic works, described within the manual, is commonly referred to as "Turabian style" or "Chicago style" (being based on that of The Chicago Manual of Style).
A typical APA-style research paper fulfills 3 levels of specification. Level 1 states how a research paper must be organized by including a title page, an abstract, an introduction, the methodology, the results, a discussion, and references. In addition, formatting of abstracts and title pages must be as per the APA manual of style.
Automated guided vehicles are examples of cobots currently in common use. Use of AI to operate these robots may affect the risk of physical hazards such as the robot or its moving parts colliding with workers. Physical hazards in the form of human–robot collisions may arise from robots using AI, especially collaborative robots .
This measure of technological innovation is widely used in empirical research, since it does not rely on the assumption that only technology affects long-run productivity, and fairly accurately captures output variation based on input variation. However, there are limitations with direct measures such as R&D.
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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]