Developers will have access to pretrained AI building blocks through Project AirSim, including sophisticated models for spotting and avoiding obstacles and carrying out precise landings.īy removing the need for deep machine learning expertise, these pre-built capabilities increase the number of people who can begin training autonomous aircraft.Īdditionally, Microsoft has announced that it is closely collaborating with business partners to expand precise simulation to include weather, physics, and – most importantly – the sensors an autonomous machine would use to “see” the world. Manufacturers will be able to safely train upcoming Advanced Aerial Mobility (AAM) systems in a virtualized world thanks to the AirSim project. Project AirSim is a critical tool that lets us bridge the world of bits and the world of atoms, and it shows the power of the industrial metaverse – the virtual worlds where businesses will build, test and hone solutions and then bring them into the real world. But first we must safely train these systems in a realistic, virtualized world. Regarding the announcement, Gurdeep Pall, Microsoft corporate vice president for Business Incubations in Technology & Research said,Īutonomous systems will transform many industries and enable many aerial scenarios, from the last-mile delivery of goods in congested cities to the inspection of downed power lines from 1,000 miles away. The power of Azure is utilized by Project AirSim to produce enormous amounts of data for training AI models on precisely what to do at each stage of flight, from takeoff to cruising to landing.Īlong with a collection of sophisticated pretrained AI models, it will also provide libraries of simulated 3D environments representing various urban and rural landscapes to speed up autonomy in last-mile delivery, aerial infrastructure inspection, and urban air mobility. It’s possible that there was a failure in the machine’s control module, and the brief time you have unplugged will help solve this problem. Microsoft has now transformed that open-source tool into an end-to-end platform, in order to make it simpler for Advanced Aerial Mobility (AAM) customers to test and train AI-powered aircraft in simulated 3D environments, Unplug the appliance and let it rest for 5 to 10 minutes. Although AirSim was already available and is a well-liked research tool, it required extensive coding and machine learning knowledge. What is Project AirSim? How Does it Work?Īutomation is important in the rapidly evolving technological world, and Microsoft wants to accelerate autonomous flight by creating an end-to-end platform with Project AirSim.
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Today, a limited preview of Project AirSim is available.Ĭustomers of Project AirSim will also be able to access a library of specific locations, like New York City or London, or generic spaces, like an airport, and create millions of precise 3D environments using data from Bing Maps and other providers. It is essentially an artificial intelligence (AI)-powered simulator for drones, flying taxis, and other advanced aerial mobility (AAM) vehicles. Project AirSim uses high-fidelity simulation to safely build, train, and test autonomous aircraft on the Azure platform. Microsoft has unveiled Project AirSim, a new innovation, today at the Farnborough International Airshow.