KEEL (Knowledge Extraction based on Evolutionary Learning) is a framework that can be used for various tasks, which translates data into information into knowledge assets. KEEL specifically assesses evolutionary algorithms for data mining based on regression, classification, unsupervised learning, and so on. The ultimate feat of machine intelligence will be when the computer programs are able to read the text and interpret and understand it the way human beings do. With this capability, combined with exponentially growing brute force computing power, we will be able to create a knowledge system that will possess supernatural powers when it comes to applying that knowledge to various problems like Genome decoding, studies of antibodies and so on that have plagued humanity for centuries.
The KEEL framework and similar frameworks are taking us a step closer to that goal with the fundamental idea of automatically discovering knowledge from datasets using evolutionary algorithms...