"Max Kanter, a master’s student in computer
science at MIT, and his advisor, Kalyan Veeramachaneni, a research
scientist at MIT’s computer science and artificial intelligence
laboratory, created the Data Science Machine to search for patterns and
choose which variables are the most relevant. Their paper on the project results (pdf) will be presented at the IEEE Data Science and Advanced Analytics conference in Paris this week. It’s fairly common for machines to analyze data,
but humans are typically required to choose which data points are
relevant for analysis. In three competitions with human teams, a machine
made more accurate predictions than 615 of 906 human teams. And while
humans worked on their predictive algorithms for months, the machine
took two to 12 hours to produce each of its competition entries."
http://crimbrary.blogspot.ca/2015/10/an-algorithm-can-predict-human-behavior.html