Microsoft Research has launched a new AirSim simulation platform for the aerospace industry called Project AirSim. Project AirSim is like the original AirSim that uses AI models to build, train and test drones and other autonomous aircraft using 3D simulation.
Project AirSim will offer libraries of simulated 3D environments and uses Azure to generate massive amounts of data for training AI models on exactly which actions to take at each phase of flight, from takeoff to cruising to landing.
With Project AirSim, developers will be able to access pretrained AI building blocks, including advanced models for detecting and avoiding obstacles and executing precision landings. The original AirSim was integrated with the company’s Bonsai machine-teaching technology, plus reinforcement learning from Azure Machine Learning Services.
Using data from Bing Maps and other providers, Project AirSim customers will also be able to create millions of detailed 3D environments and also access a library of specific locations, like New York City or London, or generic spaces, like an airport.
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