![]() ![]() On the technical side, this chapter draws a distinction between artificial narrow intelligence (ANI), artificial general intelligence (AGI) and artificial superintelligence (ASI). In turn, Deep Learning (DL) is a subfield of ML that uses deep neural networks (DNN) to identify useful patterns in the input data. A variety of teaching methods can be used to train ML algorithms, including supervised learning, unsupervised learning and reinforcement learning. Machine Learning (ML) is a subfield of AI that encompasses software that improves with experience. In this context, it is preferable to characterise intelligence as the ability to accomplish complex tasks, as opposed to anchoring this concept on the notion of human intelligence or thought. Artificial Intelligence (AI) is an interdisciplinary field of study that focuses on building machines that are able to think and, in particular, act in an intelligent manner.
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