Researchers at MIT have developed a new ‘Data Science Machine’ which can outsmart human intuitions across multiple areas.
The artificial intelligence system has been developed as a result of the researchers trying to remove the human element from big-data analysis. The innovation ‘not only searches for patterns but designs the feature set as well.’
The machine has been based on a masters thesis in computer science prepared by MIT student Max Kanter
Max Kanter said: "We view the Data Science Machine as a natural complement to human intelligence.
"There’s so much data out there to be analyzed. And right now it’s just sitting there not doing anything. So maybe we can come up with a solution that will at least get us started on it, at least get us moving."
MIT researchers have tested the first prototype of the system at three data science competitions, in which it has been able to beat 615 out of the 906 human participating teams.
Data predictions by Data Science Machine were found to be 94%, 96% and 87% accurate as compared to the best submissions in the three competitions.
MIT said: "But where the teams of humans typically labored over their prediction algorithms for months, the Data Science Machine took somewhere between two and 12 hours to produce each of its entries."
