You create an amazing machine learning algorithm. You take a novel approach and apply techniques that prove to be highly accurate. Your results demonstrate a very high true positive rate and a very low false positive rate. You write a paper that articulates your outstanding results and submit it to a leading academic conference. You expect that this research will be well received, and you will receive many citations of your work.

In a new paper, researchers from CSAIL and the machine-learning start-up PatternEx have demonstrated an artificial-intelligence platform called "AI²" that can predict 85% of cyber-attacks, by continuously incorporating input from human experts. To predict attacks, AI² combs through data and detects suspicious activity by clustering the data into meaningful patterns using unsupervised machine-learning. It then presents this activity to human analysts who confirm which events are actual attacks, and incorporates that feedback into its models for the next set of data. Check out all the Circuit Playground Episodes! Our new kid's show and subscribe!