MIT attempts new algorithms to replace human intuition for huge data analysis

Researchers from the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (M.I.T) have successfully created a machine that is looking out to replace the need for human intuition out of big data analysis by letting the ‘super-computers’ choose the feature set used to identify predictive patterns in the data. Even though it is a given that super-computers are awesome in crunching numbers and figures in comparison to human, but the question always remained – can artificial intelligence choose the most optimal path to begin in the first place? That was always the key, because computers will have to go through each and every set of possibilities, even if it is a ridiculous one – while humans are tremendously efficient in this regard as we can filter…


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