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AI's integration across many sectors is transforming innovation, improving efficiency and adaptability. AI's ability to analyze data, and patterns enables it to produce hyper-personalized advertisements. [17] AI marketing will be an important tool for all businesses to thrive in contemporary times.
The App Inventor team was led by Hal Abelson [1] and Mark Friedman. [2] In the second half of 2011, Google released the source code, terminated its server, and provided funding to create The MIT Center for Mobile Learning, led by App Inventor creator Hal Abelson and fellow MIT professors Eric Klopfer and Mitchel Resnick. [3]
Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...
Content creation or content creative is the act of producing and sharing information or media content for specific audiences, particularly in digital contexts. According to Dictionary.com, content refers to "something that is to be expressed through some medium, as speech, writing or any of various arts" [1] for self-expression, distribution, marketing and/or publication.
Copywriting is the act or occupation of writing text for the purpose of advertising or other forms of marketing.Copywriting is aimed at selling products or services. [1] The product, called copy or sales copy, is written content that aims to increase brand awareness and ultimately persuade a person or group to take a particular action.
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Distributed Artificial Intelligence (DAI) is an approach to solving complex learning, planning, and decision-making problems.It is embarrassingly parallel, thus able to exploit large scale computation and spatial distribution of computing resources.
Explainable AI (XAI), often overlapping with interpretable AI, or explainable machine learning (XML), is a field of research within artificial intelligence (AI) that explores methods that provide humans with the ability of intellectual oversight over AI algorithms. [1] [2] The main focus is on the reasoning behind the decisions or predictions ...
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