In February, for the first time, a Black Hawk helicopter flew itself around with no humans on board. The self-flying military helo project involved both DARPA and Sikorsky, which makes the UH-60 helicopters. 

Meanwhile, in some places, companies like Zipline and Wing are delivering goods by drone. Other companies are working on electric air taxis to transport people or cargo, and of course normal air traffic—commercial flights out of big airports, general aviation airplanes zipping out of others—is flying around, too. Factor in helicopters, hot air balloons, and more, and there can be a lot going on up there.  

With all this busyness in the skies, researchers at Carnegie Mellon are working on an artificial intelligence pilot system that can carry out tasks like predicting what another aircraft might do, or keep an eye out for nearby planes using cameras on an aircraft. The idea is that an AI like this could help fly drones, assist a human pilot, or even someday fly a plane on its own. 

Right now, in a flight simulator, the AI is able to figure out what another aircraft is doing, or might do, and then figure out how to safely land the plane accordingly. Think of the way a driver behind the wheel of a car notices another vehicle approaching an intersection, and begins preemptively planning what to do if the other car were to run a stop sign, for example. 

In this case, the AI is looking out for another plane, not a car, of course. "It basically looks at their behavior for 10 seconds," says Jay Patrikar, a doctoral student in the Robotics Institute at Carnegie Mellon University. "It tries to judge: 'They are here. What are they potentially likely to do?'"