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Nutrition education promotes healthy-eating and exercise behaviors. [3] The work of nutrition educators takes place in colleges, universities and schools, government agencies, cooperative extension, communications and public relations firms, the food industry, voluntary and service organizations and with other reliable places of nutrition and health education information. [2]
Currently, there is much hype from venture capital, big tech and convinced open educationalists. AI in education is a contested terrain. Some educationalists believe that AI will remove the obstacle of "access to expertise". [20] Others claim that education will be revolutionised with machines and their ability to understand natural language. [21]
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]
Shokuiku (Kanji: 食育) is the Japanese term for "food education".The law defines it as the "acquisition of knowledge about food and nutrition, as well as the ability to make appropriate decisions through practical experience with food, with the aim of developing people's ability to live on a healthy diet".
AI is making decisions too important to be left up to “black box” programs, according to Howso CEO Mike Capps. Like cereal, AI needs ‘nutrition labels’ Raleigh CEO says. His company offers ...
Pronounced "A-star". A graph traversal and pathfinding algorithm which is used in many fields of computer science due to its completeness, optimality, and optimal efficiency. abductive logic programming (ALP) A high-level knowledge-representation framework that can be used to solve problems declaratively based on abductive reasoning. It extends normal logic programming by allowing some ...
AI literacy or artificial intelligence literacy, is the ability to understand, use, monitor, and critically reflect on AI applications. [1] The term usually refers to teaching skills and knowledge to the general public, particularly those who are not adept in AI.
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