Take it from U.S. Air Force Captain Kyle McAlpin when he says that scheduling C-17 aircraft crews is a headache. An artificial intelligence research flight commander for the Department of Air Force–MIT AI Accelerator Program, McAlpin is also an experienced C-17 pilot. "You could have a mission change and spend the next 12 hours of your life rebuilding a schedule that works," he says. It's a pain point for crew of 52 squadrons who operate C-17s, the military cargo aircraft that transport troops and supplies globally. This year, the Air Force marked 4 million flight hours for its C-17 fleet, which comprises 275 U.S. and allied aircraft.

Artificial intelligence, or AI, is already revolutionizing the way we think of marketing today. AI can aid in the optimization and speeding up of a variety of marketing tasks, enhancing customer interactions and increasing conversions. Artificial intelligence is crucial in the field of digital marketing, especially when it comes to email marketing. Because of its direct approach and cost-effective technique, email marketing has become an important part of digital marketing. Email marketing has never been more effective than it is now, thanks to artificial intelligence.

U.S. Soldiers, assigned to the 1st Squadron, 2d Cavalry Regiment, scan sectors of fire during the AH-64 Apache helicopter gunnery training in Grafenwoehr Training Area, Germany, July 15, 2020. The gunnery training concluded with the squadron's table VIII and IX live-fire certifications. LaShic Patterson) For future battlefield operations, speed is the name of the game. The side that can make decisions faster has the advantage.A new, AI-enabled effort by the U.S. Army can give operators the ability to detect, identify, process and engage targets quicker than ever and at longer ranges than before. The Tactical Intelligence Targeting Access Node, or TITAN, offers frontline forces, as well as headquarter commanders, a resilient tactical ground station capable of rapidly sifting through massive amounts of incoming sensor data to find and track potential threats.

Frankfurt (IAA), 12th September 2019 EDAG BFFT Electronics have developed software that uses artificial intelligence to support assisted and automated driving, even when visibility is poor. The DiFoRem (Dirt & Fog Removal) system is able to compensate for image errors caused by dirt, fogging or camera lens defects with the help of neural networks in real time. The reconstructed image can then be used by other assistance systems or for automated driving, providing a significant increase in image and information quality. In order to digitally compensate for image errors, the impaired areas of every single ingoing image are first identified algorithmically and marked accordingly. To this end, neural networks have been trained to learn the relation between image sections with and without errors.