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Artificial Intelligence in Google Maps


     

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Artificial Intelligence (A.I.) is a multidisciplinary field whose goal is to automate activities that presently require human intelligence. (AI) enables machines to extract, integrate, exchange, and analyze large number of datasets to answer complex problems in a timely manner. The massive amounts of data acquired and processed by corporations such as Google, Facebook, Amazon, and Apple have provided accelerated advances in a variety of industries and created new opportunities driven by machine intelligence insights. This phenomenon has also driven a demand for new Machine Learning (ML) techniques that improve the accuracy of AI predictions and decision-making abilities. One aspect of modern ML and AI that often gets obfuscated by the sheen of the machines showing any ability to perform humanlike decision-making or identify things unforeseen by humans, regardless of domain specificity, is the underlying fact that the AI/ML algorithms depend on the data derived from their decision-making models and that drives their decisional output. The preprocessing of the data is fundamental to the success of the artificial intelligence.


Keywords

Machinelearning, AI, Problem Solving, Faster ability, Accuracy, Update.s
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  • Artificial Intelligence in Google Maps

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Abstract


Artificial Intelligence (A.I.) is a multidisciplinary field whose goal is to automate activities that presently require human intelligence. (AI) enables machines to extract, integrate, exchange, and analyze large number of datasets to answer complex problems in a timely manner. The massive amounts of data acquired and processed by corporations such as Google, Facebook, Amazon, and Apple have provided accelerated advances in a variety of industries and created new opportunities driven by machine intelligence insights. This phenomenon has also driven a demand for new Machine Learning (ML) techniques that improve the accuracy of AI predictions and decision-making abilities. One aspect of modern ML and AI that often gets obfuscated by the sheen of the machines showing any ability to perform humanlike decision-making or identify things unforeseen by humans, regardless of domain specificity, is the underlying fact that the AI/ML algorithms depend on the data derived from their decision-making models and that drives their decisional output. The preprocessing of the data is fundamental to the success of the artificial intelligence.


Keywords


Machinelearning, AI, Problem Solving, Faster ability, Accuracy, Update.s