Neuro-Symbolic AI is a type of artificial intelligence that tries to combine two different ways of thinking: learning from data and logical reasoning with rules.
Imagine you want a computer not only to recognize patterns in images or texts but also to understand complex relationships and draw logical conclusions.
Neural networks help the computer learn from examples, while symbolic systems use rules to organize and process knowledge.
Neuro-Symbolic AI combines these two approaches so that computers can not only learn but also think rationally.