The "AI2" algorithm was developed by the university's Computer Science and Artificial Intelligence Lab (CSAIL)—in conjunction with machine learning startup PatternEx—and is reportedly three times better at detecting cyberattacks than other systems available today, reports Business Insider.
When the algorithm thinks it has picked up a cyberattack, it notifies a human analyst who manually checks and verifies the claim. In a statement, CSAIL research scientist Kalyan Veeramachaneni said:
"[AI2] continuously generates new models that it can refine in as little as a few hours, meaning it can improve its detection rates significantly and rapidly… The more attacks the system detects, the more analyst feedback it receives, which, in turn, improves the accuracy of future predictions. That human-machine interaction creates a beautiful, cascading effect."