Bootstrapped learning beats AI

The EE Times has a story about a program called “Bootstrapped Learning,” developed by Darpa:

“The goal of Bootstrapped Learning (BL) is to develop an ‘electronic student’ that can be taught complex concepts incrementally over a very wide range of problem domains-without designing domain knowledge into algorithms.”

This kind of algorithm is strongly related to semi-supervised and active learning. Even when conventional AI outperforms them, these approaches boast one important benefit. When a system learns incrementally with little human knowledge, it essentially maintains itself. Or, it can at least be maintained or extended at a very low cost.


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