If you attended my Introduction to Machine Learning class, or our March Madness Challenge (which we sadly won’t get to play out), you might have some ideas about how we can use AI to fight COVID-19. At a high level, machine learning is giving the computer many data samples so that it learns to identify something (training) then having the computer look at new data and identify it. My first thought was perhaps we could use lung imaging to diagnose the virus faster. We could train algorithms with CT scans of healthy lungs and scans of COVID-19 infected lungs. The algorithm should quickly be able to learn the differences and identify people with the virus at a high level of accuracy.

IntelliGenesis is collaborating with the University of Buffalo on Rialto, an innovative cyber security project for the Navy. Rialto is a tool that predicts future behavior of Advanced Persistent Threats (APTs) based on their past attacks and attacks of similar threats. APTs use a variety of methods to disrupt and destroy cyber operations of their targets.

Speaking as someone who has received a phone call from their CEO, you typically do what the boss says and ask questions later. That’s exactly what the CEO of a UK-based energy firm did when the CEO of his parent company called. Directed to transfer send $243,000 to one of their suppliers within the hour. He complied. Later that day the CEO called back again and for a second payment. This time he hesitated because something seemed wrong. And he was right.