Explained: Sigma
How do you know when a new finding is significant? The sigma value can tell you — but watch out for dead fish.
Data mining without prejudice
A new technique for finding relationships between variables in large datasets makes no prior assumptions about what those relationships might be.
Google’s Schmidt: ‘Global mind’ offers new opportunities
With knowledge and data, a smarter world will divide work between computers and humans, search engine executive chairman says.
Institute teams dominate Clean Energy Prize
Institute ideas win $200K top prize and all five finalist prizes, with variety of energy solutions.
Strength in numbers
At MIT’s annual sports analytics conference, owners, coaches and statistics mavens convene to ask how numbers can help increase success.
Retooling algorithms
Charles Leiserson and his team are experts at designing parallel algorithms — including one for a chess-playing program that outperformed IBM’s Deep Blue.
Turning reviews into ratings
A new system automatically combs through online reviews to provide recommendations according to unusual criteria.
Crowds and Clouds: Data, sheep, and collaboration in the works of Aaron Koblin
Delivers Abramowitz Memorial Lecture, hosted by MIT Office of the Arts
Hitting the tough shots
MBA student Peljto turns passion into projects; works behind the scenes on the sports analytics conference.
Safeguarding data: An MIT responsibility
To protect the personal data MIT collects and to comply with new Massachusetts regulations, a campus-wide Written Information Security Program (WISP) has been developed.
