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“A ton of data gets generated when an aircraft flies through space in Project AirSim, said Ashish Kapoor, who created the original AirSim at Microsoft Research and is now general manager of Microsoft’s autonomous systems research group.
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For example, the flight software could be put through a series of simulations to check on how it handles bad weather or loss of GPS connectivity. Microsoft’s Pall said that the company is working with civil aviation regulators to figure out how Project AirSim could help with the certification of autonomous flight systems. “Coupled with the fact that winter can literally last seven months in North Dakota, we realized we needed something other than the physical world to design our solutions for customers.” “You don’t want to fly drones into wind turbines, power lines - or really anything, for that matter,” Airtonomy CEO Josh Riedy said.
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One of Project AirSim’s early-access users is Airtonomy, a North Dakota-based company that received a $100,000 TechSpark grant from Microsoft and has been training drones to inspect wind farms and oil tanks across the Midwest. Partners in the project include Ansys and MathWorks, two companies that provide software for designing AI-based simulations. The newly unveiled commercial platform makes it easier to test and train AI-powered aircraft. Microsoft’s Project AirSim builds on an earlier open-source tool from Microsoft Research that required deep expertise in coding and machine learning. Customers can build their own spaces, or draw from a library of specific locations around the globe. The platform can take advantage of data from Bing Maps and other providers, plus processing power from Microsoft Azure, to create millions of detailed virtual 3-D environments.
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