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Powering AI and Machine learning and Deep learning
Artificial intelligence (AI) is a system that is computerized, and it is enabled to carry out tasks that require human intelligence. The artificial intelligence systems have their power generated by machine learning. However, there exist some that are powered by a deep understanding and a few that are powered by rules, which happens to be the most monotonous thing. Artificial intelligence can broadly be categorized in to; Narrow artificial intelligence and artificial general intelligence.
Narrow Artificial intelligence is a set of discovery and intelligence that tends to impersonate human intelligence. Narrow Artificial Intelligence is powered by progress in machine learning and deep learning. Narrow AI focuses on carrying out a single task and does it exceptionally well. Despite looking intelligent, they operate under many constraints and limitations compared to the most basic human intelligence. AGI is a computer system with general intelligence like a being and can use it to solve problems. AGI and other types of AI are powered by algorithms and techniques such as machine learning and deep learning in additions to rules.
Machine learning role is to feed a computer data and utilize statistical methods that help it learn on how to carry out tasks better in a progressive way; this is without having a program to that aid in the operation of a job, hence leaving aside the millions of lines with written code that are needed in programming. Machine learning entails supervised learning that operates with labeled data sets and learning without supervision that operates with unlabeled data sets in comparison to Deep learning which is a form of machine learning used to run inputs via a biologically-inspired neural network architecture. The machine can go deep in its education because it has neural networks that contain a variety of hidden layers that helps in data processing (Xin et al., 2018).
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