MachineLearning

More or less most ArtificialIntelligence these days is done through Machine Learning. Ie. throwing huge data-sets at number crunching algorithms. And getting the machine to fit patterns to it.

• The Mechanics of Machine Learning book : https://mlbook.explained.ai/
• NeuralNetworks are the most common example. See Connectionism for a bit more philosophical stuff on them.
• Transformers/GenerativePretrainedTransformer. Not quite sure if they are or aren't Neural Networks. But do the same kind of thing.
• SupportVectorMachines and other statistical methods are also not
• Even GeneticAlgorithms are a kind of "learning" but with a different metaphor.
• ProjectEuclid seems to be philosophical.
• ExplainableAI is a challenge

Machine learning efficiency is outpacing MooresLaw