Hebbian learning originates from the fields of artificial intelligence, industry and Industry 4.0, and digitalisation. It describes a fundamental learning rule with which computers and machines can learn similarly to the human brain.<\/p>\n
The principle is simple: connections between artificial \u201eneurons\u201c always strengthen when two neurons are active at the same time. Imagine you hear a horn every time you see a particular light. After repeating this a few times, you \u201eremember\u201c the connection between the light and the horn. Hebbian Learning works just like this in machines: if a certain stimulus (e.g., image or sound recognition) is linked to a certain outcome often enough, the connection between these data points becomes stronger.<\/p>\n
In practice, Hebbian learning is used in industry, for example, to train machines more flexibly to recognise recurring patterns or errors. This allows a production plant to autonomously discover which processes occur together frequently and to optimise its processes accordingly.<\/p>\n
Thus, through Hebbian learning, artificial intelligence can recognise patterns more efficiently and helps to continuously improve production processes or intelligent systems.<\/p>","protected":false},"excerpt":{"rendered":"