Applications
AI beyond machine learning
For someone who only became familiar with the concept of artifical intelligence in the early 2020s, it may appear as though AI is all about machine learning: neural networks with various architectures, "trained" using a relevant corpus of training material, offering stochastic responses that, if the model is trained well using a suitable corpus, will have a high probability of being right or, at least, near optimal.
However, conventionally the field of artificial intelligence is much broader, and until recently, neural networks occupied only a small, mostly experimental, niche.
In particular, there is the subfield called symbolic AI, sometimes called GOFAI (Good Old-Fashioned AI) in jest: and within the field of symbolic AI, there is one of the oldest families AI applications, computer algebra systems (CAS).
