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Artificial Intelligence (AI)
In contrast to conventional rule-based programming, AI uses machine learning (ML)/deep learning (DL) to recognise patterns in data.
A simple example will illustrate the potential. We assume that we have ingredients for a dish (input) and also know which dish is to be served at the end (output). However, the recipe is missing (connection between input and output). However, the recipe can be found by self-learning algorithms. Thus, an AI can independently find a solution to an existing problem. We generally speak of a weak AI, which can only fulfil one task. So why do we use AI? Some problems are so complicated that it is impossible to solve them through rule-based programming. Moreover, an AI is able to apply the pattern previously learned from data to new situations.
In contrast to conventional rule-based programming, an AI uses machine learning (ML)/deep learning (DL) to recognise patterns in data. Thus, an AI can independently find a solution to an existing problem.
We generally speak of a weak AI that can only perform one task. So why do we use AI? Some problems are so complicated that it is impossible to solve them through rule-based programming. Moreover, an AI is able to apply the pattern previously learned from data to new situations.
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