Artificial intelligence (AI) is a branch of computer science and is based on highly intelligent algorithms. The goal is to enable machines to learn, understand and act from experience. The cornerstone for artificial intelligence was laid by the British logician, mathematician, cryptanalyst and computer scientist Alan Mathison Turing as early as 1936. With his Turing machine, a computation model, he proved that machines can execute cognitive processes if they can be broken down into several individual steps and represented in the form of algorithms. Today, artificial intelligence is divided into several fields. The term itself goes back to U.S. computer scientist John McCarthy, who first used it at the 1956 Dartmouth Conference under the heading Dartmouth Summer Research Project on Artificial Intelligence. The Dartmouth Conference also marked the birth of artificial intelligence as an academic discipline.
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Artificial intelligence is finding its way into more and more industries. Why? Because huge volumes of data can hardly be handled manually in the context of digitalization. Yet harnessing precisely this data can be instrumental in optimizing products and designing more efficient processes. But how does artificial intelligence actually work and how can it be put to profitable use? The article below provides answers to these questions.
Table of contents
Strong and weak artificial intelligence
Methods of artificial intelligence
Subsets of artificial intelligence
Fields of application for artificial intelligence
Requirements for the integration of AI
Recommendations for the integration of AI
How Brunel can support you in your next project
Strong and weak artificial intelligence
Research and development work draws a distinction between strong and weak intelligence. Weak intelligence already accompanies us in our everyday lives and is integrated, for example, in voice assistants and chatbots. It mostly deals with specific use cases. Strong artificial intelligence, on the other hand, does not yet exist. The goal here is to develop intelligence that is equivalent to or even surpasses that of humans.
Strong artificial intelligence
Strong intelligence aims to give machines the same or even greater intellectual capabilities than humans. This would enable them to act intelligently and flexibly of their own accord. Characteristics of strong intelligence include logical reasoning, decision-making in the face of uncertainty, the ability to plan and learn, communication via natural language, and the combination of all these abilities to resolve higher-level goals. While researchers have not yet succeeded in developing strong artificial intelligence, they believe it is only a matter of time before they do so.
