From Business Intelligence to Artificial Intelligence
نویسندگان
چکیده
منابع مشابه
From Artificial Intelligence to Cyborg Intelligence
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متن کاملFrom Artificial Intelligence to Augmented Intelligence
S ince the official beginning of artificial intelligence back in 1956, AI has experienced several ups and downs. Today, it’s at another peak, fueled by better algorithms, more data, and stronger computing power. AI is no longer a topic discussed only by researchers; the masses have started to take notice, especially since Google’s AlphaGo program beat Lee Sedol, a human champion of the game Go....
متن کاملFrom Artificial Intelligence to Artificial Culture
Historically, cognitive sciences in general and artificial intelligence in particular have had little to say about human culture. However, if the modest success of nascent field of cognitive science of culture in explaining aspects of culture is any indication, further contributions from cognitive scientists may be needed to develop a predictive computational science of culture. This paper outl...
متن کاملArtificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملIntelligence in Artificial Intelligence
ions of these networks, eg, cube on cube (The Society of Mind by Marvin Minsky, MIT, 1985) and “learning” mechanisms (The Organization of Behavior by Donald O Hebb, 1949) may not constitute intelligence. These processes populate fields with values from the user environment which can be selectively used (per contra hard coded defined sets). For example, NEST Learning Thermostat uses input values...
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ژورنال
عنوان ژورنال: Modern Approaches on Material Science
سال: 2020
ISSN: 2641-6921
DOI: 10.32474/mams.2020.02.000137