Artificial Intelligence, Machine Learning, Technology, Data Science, Programming.
is inherently less flexible and thus more fragile to changing circumstances. This is one of the reasons that Deep Learning Networks can be fragile. They will train for the data they are presented with but will not be able to adapt to new kinds of problems. This is also why ensembles outperform